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DateTitleProvider
2024

Adams County - Ag Security Areas

Agricultureal Security Areas of Adams County, Pennsylvania

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Adams County
2024

Adams County - Land Conservancy Easements

Land Conservancy Easements of Adams County, Pennsylvania

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Adams County
2024

Adams County - Mt Joy Twp Preserved Farms

Mt Joy Twp Preserved Farms of Adams County, Pennsylvania

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Adams County
2024

Adams County - Municipal Boundary

Adams County Municipal Boundaies

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Adams County
2024

Adams County - Parcels

Adams County parcels

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Adams County
2024

Adams County - Preserved Farms

Preserved Farms of Adams County, Pennsylvania

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Adams County
2024

Adams County - Streets

Adams County streets

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Adams County
2024

Allegheny County - Address Points

This dataset contains Address Points in Allegheny County. The Address Points were created by GDR for the Allegheny County CAD project, October 2008. Data is updated by County staff as changes and corrections are found, on a continuous basis. Updates are sent to PASDA monthly.

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Allegheny County
2002

Allegheny County - Basins

3 Rivers Wet Weather Demonstration Program Outreach Planning Basins

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Allegheny County
2002

Allegheny County - Blocks

Derived from original MAPINDX: Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5" grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

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Allegheny County
2016

Allegheny County - Boundary

This dataset contains the Allegheny County boundary.

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Allegheny County
2024

Allegheny County - Building Footprints

Footprints for all buildings and out buildings in Allegheny County. Buildings are captured by following the edge of the roof line. All near orthogonal corners are square. Interim roof lines, such as dormers, are not shown. Minor structures such as carports, decks, patios, stairs, etc. which are part of the structure are not shown. Building Footprints were updated as a result of a flyover in 2004. Buildings less than 400 square feet were not captured. Special consideration was given to garages, less than 400 square feet, and were digitized if greater than 200 square feet.

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Allegheny County
2002

Allegheny County - Cemeteries

Outlines of public and private cemeteries greater than one acre in size. Areas were delineated following a generalized line along the outside edge of the area. Individual features within the cemetery are not shown.

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Allegheny County
2006

Allegheny County - Contours

Contour data was created as a result of a county flyover in the spring of 2004. Contours were created from a DTM Feature Dataset, upgraded by Baker and T-3 to support National Mapping Accuracy Standards (NMAS) for contours . Intermediate Contours are contours spaced at 5 foot intervals. Depression Contours are contours showing the edges and slope in a depression at 5 foot intervals. Contours are coded separately for delineation between depression and intermediate contours.

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Allegheny County
2008

Allegheny County - Councils of Government

Data was created to portray the boundaries of the Councils of Government (COG's) in Allegheny County.

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Allegheny County
2012

Allegheny County - County Council Districts

Data was created to portray the boundaries of the County Council Districts in Allegheny County.

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Allegheny County
2017

Allegheny County - Farmers Markets

This dataset contains Farmers Market locations in Allegheny County.

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Allegheny County
2000

Allegheny County - Floodplain

In an effort to expedite the permit review process for Water Obstruction and Encroachment Applications, the Pennsylvania Department of Environmental Protection initiated a plan to replace hard-copy maps with digital GIS sets. The project is referred to as the 105 Spatial Data System (105SDS) Pennsylvania river floodplains and coastal floodplains are two of many spatial data sets that were used in the 105SDS project. As a result of work completed by Law Environmental, Inc. on the statewide low-level radioactive waste siting project, DEP received two coverages depicting river and coastal floodplains. However, due to the process used in constructing these data sets, there were many areas throughout the state in which floodplains were not digitized. The primary purpose of this task was to complete the digital floodplain mapping in these areas. Purpose: INTENDED USE OF DATA; Created to do permit reviews for Water Obstruction and Encroachment Applications. LIMITATIONS OF DATA; Due to the nature of transferring the floodplains from the Federal Emergency Management Agency maps to plotted 1:24000 scale maps this coverage should be considered to be the "best representation" of the data but not as accurate as, for example, a map of Global Positioning System's floodplain coordinates

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Allegheny County
2010

Allegheny County - Greenways

The Greenways feature class consists of a compilation of the following data: agricultural easements, Allegheny Land Trust GREENPRINT, Conservation Streams buffered by 50 ft, Forested Floodplains, City of Pittsburgh designated Greenways, Land Trust Properties, Rivers buffered by 100 ft, sensitive slopes, wetlands 1 acre or more buffered by 50 ft, golf courses, parks and trails. Building footprints have been deleted from the feature class, but can be added back (see ModelWorkspace\Buildings_in_Greenways).

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Allegheny County
2016

Allegheny County - Hydrology Areas

Rivers, Lakes, Ponds, Reservoirs, Hidden Lakes, Reservoirs or Ponds: If greater than 25 feet and less than 30 feet wide, is captured as a double line stream. If greater than 30 feet wide it is captured as a river. Lakes are large standing bodies of water greater than 5 acres in size. Ponds are large standing bodies of water greater than 1 acre and less than 5 acres in size. Reservoirs are man made embankments of water. Included in this definition are both covered and uncovered water tanks.

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Allegheny County
2016

Allegheny County - Hydrology Lines

Rivers, Lakes, Ponds, Reservoirs, Hidden Lakes, Reservoirs or Ponds: If greater than 25 feet and less than 30 feet wide, is captured as a double line stream. If greater than 30 feet wide it is captured as a river. Lakes are large standing bodies of water greater than 5 acres in size. Ponds are large standing bodies of water greater than 1 acre and less than 5 acres in size. Reservoirs are man made embankments of water. Included in this definition are both covered and uncovered water tanks.

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Allegheny County
2000

Allegheny County - Index

Derived from original MAPINDX: Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5" grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

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Allegheny County
2002

Allegheny County - Library

Data was created to portray the Libraries in Allegheny County.

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Allegheny County
2024

Allegheny County - Municipal boundaries

Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the attribute table includes additional descriptive informations including Council of Government (COG) affiliation, School District, Congressional District, FIPS Code, County Municipal Code and County Council District.

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Allegheny County
2000

Allegheny County - NHI (Natural Heritage Inventory)

The Allegheny County Natural Heritage Inventory identifies and maps Allegheny County's most significant natural areas. The NHI study (Natural Heritage Inventory) investigated plant and animal species and communities that are unique or uncommon in Allegheny County; it also explored areas important for general wildlife habitat, education and scientific study. The inventory does not confer protection on any of the areas listed here.

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Allegheny County
2000

Allegheny County - NWI (National Wetlands Inventory)

NWI (National Wetlands Inventory) digital data files are records of wetlands location and classification as defined by the U.S. Fish & Wildlife Service. This dataset is one of a series available in 7.5 minute by 7.5 minute blocks containing ground planimetric coordinates of wetlands point, line, and area features and wetlands attributes. When completed, the series will provide coverage for all of the contiguous United States, Hawaii, Alaska, and U.S. protectorates in the Pacific and Caribbean. The digital data as well as the hardcopy maps that were used as the source for the digital data are produced and distributed by the U.S. Fish & Wildlife Service's National Wetlands Inventory project. This data set is derived from the national coverage and only includes the area within the boundary of Allegheny County.

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Allegheny County
2024

Allegheny County - Parcels

Boundary outlines of individual properties in Allegheny County.

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Allegheny County
2000

Allegheny County - Parking

Paved and unpaved parking lots that accommodate more than ten (10) cars.

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Allegheny County
2024

Allegheny County - Parks

Was derived from the data included in original file CULTUREF. Delineates the area following a generalized line along the outside edge of all parks in Allegheny County

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Allegheny County
2000

Allegheny County - Pools

Data was created to portray in-ground community pools, does not include residential pools.

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Allegheny County
2002

Allegheny County - Public Buildings

Point locations of county and municipal buildings, halls, public works sites, government buildings.

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Allegheny County
2006

Allegheny County - Railroad Lines

Railroad Centerlines are collected by digitizing the apparent center of each set of rails. The Rail Line Edge is the apparent Right of Way. Rights of Way and Centerlines that are currently being used for rail traffic are coded as In Use. Rights of Way and Centerlines that no longer maintain rail traffic but have tracks remaining, as exemplified by plants growing through or around the tracks or right of way, are coded as Abandoned. Rights of Way and Centerlines that have the tracks removed are coded as Old. The Rights of Way and Centerlines that have the tracks removed and have been converted to trails are coded as Rails to Trail. For rail lines that cannot be discerned between Old and Rails to Trails, the Rights of Way and Centerlines shall be coded as Old.

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Allegheny County
2006

Allegheny County - Retaining Walls

The Retaining Wall Feature Dataset contains photogrammetrically compiled Retaining Walls - structures of concrete, brick, stone, wood, etc. retaining earth and adjacent to a road, railroad, edge or stream that are over five (5) feet high and 200 feet long.

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Allegheny County
2010

Allegheny County - Slopes

Slope data

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Allegheny County
2000

Allegheny County - Soils

Data was created to portray the soils in Allegheny County.

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Allegheny County
2006

Allegheny County - Spot Elevation

Spot Elevation data was created as a result of a county flyover in the spring of 2004. They were created from a DTM Feature Dataset, upgraded by Baker and T-3 to support National Mapping Accuracy Standards (NMAS). Spot Elevations are used to show additional elevation information. They are located in flat areas where contours may be sparse or spaced far apart, at road and railroad intersections, on the road centerline at the ends of bridges, on the road centerline over the center of culverts that have a span of five (5)-foot or greater, at the crest of all tops of hills, at saddles, within depressions and where the ground is visible in obscured areas.

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Allegheny County
2024

Allegheny County - Street Centerlines

This dataset contains street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road, Secondary Road, Unpaved Road, Limited Access Road, Connecting Road, Jeep Trail, Walkway, Stairway, Alleyway and Unknown. A Primary Road is a street paved with either concrete or asphalt that has two (2) or more lanes in each direction. A Secondary Road is a residential type hard surface road, or any hard surface road with only one (1) lane in each direction. An Unpaved Road is any road covered with packed dirt or gravel. A Limited Access Road is one that can only be accessed from a Connecting Road such as an Interstate Highway. A Connecting Road is a ramp connecting a Limited Access Road to a surface street. A Walkway is a paved or unpaved foot track that connects two (2) roads together. Walkways within College Campuses will also be shown. Recreational pedestrian trails and walkways through parks and wooded areas are not considered transportation and will not be digitized during this update. Walkways will not have an Edge of Pavement feature. A Stairway is a paved or wooden structure that connects two (2) roads together. Recreational pedestrian trails and walkways through parks and wooded areas are not considered transportation and will not be digitized during this update. An Alleyway is a road, usually narrower than a Secondary Road that runs between, but parallel to, two (2) Secondary Roads. Generally, Outbuildings will be adjacent to Alleyways. A Jeep Trail is a vehicular trail used for recreation. A Jeep Trail will not have an associated edge of pavement feature. A road coded as Unknown is a road, which in the judgment of the photogrammetrist, does not fall into any of the categories listed. Centerlines will be visually placed between the edges of pavement. One (1) centerline will be placed between each edge of pavement. Roads with medial strips, such as Limited Access Roads, will have two (2) centerlines for those portions of the road where the medial strip is present. For roads that terminate with a cul-de-sac, the centerline shall continue through the center of the cul-de-sac and stop at the edge of pavement. All attribute data will remain for all Street Centerlines that are not updated. For Street Centerlines that are new, the only attribute field that will be populated is the FeatureCode and UPDATE_YEAR. If a Street Centerline is graphically modified, the existing attribute data will remain and the UPDATE_YEAR will be set to 2004. The attribute values for 2004 Street Centerlines should be considered suspicious until verified. The ArcInfo Street Centerline coverage that is being updated has 800 segments of Paper Streets, 66 segments of Vacated Streets and 78 segments of Steps. Street Centerlines that are coded as Paper Streets in the OWNER field will remain unchanged in the updated dataset unless the area has been developed. In the event the area has been developed, the Street Centerlines will be modified to reflect the true condition of the visible roads. Street Centerlines that are coded as Vacated in the OWNER field will also remain unchanged in the updated dataset. In the event the area coinciding with the Vacated Streets has been developed, the Vacated Street Centerlines will be removed in order to reflect the true condition of the area. Street Centerlines that are coded as Steps in the OWNER field will be updated to reflect the current condition of the area. The Street Centerlines dataset consists of an external table that links to the supplied coverages and the Geodatabase created for this project using the "-ID" (UserID) field. In order to maintain the link to the external table and not loose valuable data the decision was made to keep all database information currently in the Street Centerline dataset. When a Street Centerline is modified during the update process, the field "UPDATE_YEAR" is set to 2004. All other database attributes will remain unchanged from the original values. All Street Centerline database data with an "UPDATE_YEAR" of 2004 should be verified before used. In some occasions the Street Centerline was divided into two (2) sections to allow for a new road intersection. Both sections of the resulting Street Centerline will have the same database attributes including Address Range. All new Street Centerlines will have zero (0) for "SystemID" and "UserID".

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Allegheny County
2016

Allegheny County - Street Edge of Pavement

Edge of Pavements are the edges of all public thoroughfares including paved roads, unpaved roads, bridges, overpasses, tunnels, alleys, stairways and airfield runways. Paved Roads are roads that are surfaced with concrete or asphalt. Roads that have been tarred and chipped are also considered paved. Roads surfaced with gravel or packed dirt are considered Unpaved. An Alleyway is a road, usually narrower than surrounding roads that runs between, but parallel to, two paved roads. An Alley can be either paved or unpaved. Generally, Outbuildings will be adjacent to Alleyways. Road pavement edges that are underneath bridges or overpasses are coded as Hidden. Bridges and Overpasses are delineated along the outside edge of the structure. Portions of bridges that are under other bridges or other objects are coded as Hidden Bridge. Tunnels are shown as lines connecting the apparent width of the tunnel through the earth. Stairways are major pedestrian thoroughfares, either paved or wooden, connecting two (2) roads and typically found on steep hills. Airfield Runways are the edges of Runways, Taxiways and other airfield pavement areas. Driveways that are greater than 300' in length will be digitized and coded as either Paved Road or Unpaved Road. Paved Road edges show the width of the paved area. If the paved road has a paved shoulder, the paved shoulder is shown as part of the paved road. The placement of an unpaved road is subject to interpretation by the photogrammetrist since the road edge may be indefinite due to the imprecise nature of an unpaved surface. Driveways that are over 300' in length are digitized. For a driveway that terminates at a building, it shall be drawn to the building. Driveways will also have a centerline for its entire length. Parking lots are not digitized. The entrance to a parking lot for shopping areas shall be shown. Driving areas around and through parking lots serving shopping areas and other businesses are considered part of the parking lot. If the driving area through a parking lot connects to two (2) or more exterior roads, the main thoroughfare through the parking lot shall be shown as a road. The driving area through an apartment complex or condominium complex shall be digitized as a road. The road is needed in these areas to show access to the individual dwelling places. Edges of Pavement that are updated will have the database field StreetCL_FC populated with the Feature Code of the Street Centerline. (The Street Centerline Feature Code is more descriptive than the general code used for Edge of Pavement.)

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Allegheny County
2010

Allegheny County - Urban Tree Canopy

Allegheny County Urban Tree Canopy. High resolution land cover dataset for Allegheny County, Pennsylvania.

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Allegheny County
2024

Allegheny County - Voting Districts

Data was created to portray the boundaries of the Voting Districts in Allegheny County.

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Allegheny County
2000

Allegheny County - Watersheds

Polygons marking borders of watersheds in Allegheny county.

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Allegheny County
2011

Allegheny County - Wooded Areas

Stands of trees (coniferous and deciduous) too numerous to plot as individual trees. The area is delineated following a generalized line along the outside edge of tree trunks. Areas are captured if at least one acre in size or of major significance especially in urban areas.

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Allegheny County
2024

Allegheny County - Zip Codes

This dataset demarcates the zip code boundaries that lie within Allegheny County. These are not clipped to the Allgeheny County boundary.

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Allegheny County
2023

Bedford County - Parcels

Boundary outlines of individual properties in Bedford County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.

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Bedford County
2023

Blair County - Address Points

These address points represent current, and believed active physical 911 addresses. Sub-address data is incomplete and generally not spatially accurate to location within the parent structure/address. This is a constantly evolving dataset that sees both additions and deletions, as well as spatial adjustments on a regular basis. This dataset is a smaller subset of what is used by 911 dispatch, and thus we encourage any observed errors to be reported immediately to the Blair County GIS Department at GIS@blairco.org, or by calling the office at 814-693-2535.

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Blair County
2023

Blair County - Centerlines

This dataset is widely used. It supports functions such as: 911 addressing, location reference, cartography, 911 dispatch, etc... Data is maintained by BCGIS Department. Because this data is a critical component to 911 addressing, if any errors are observed we kindly ask that the Blair County GIS Department be notified directly by sending an email to: GIS@blairco.org, or by calling the office at: 814-693-2535. Every effort is made to provide an accurate and current representation of the roads within the County, however we do not guarantee the validity nor spatial accuracy of this dataset.

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Blair County
2023

Blair County - Parcels

These parcels represent the current mapped parcels, to represent tax areas, not to serve as surveyed boundaries. Parcels polygons should never be considered survey accurate, nor should they be used in place of a survey by a registered land surveyor for any means other than general reference to the taxable area described on a deed. For any noticeable mapping errors please notify the Blair County Assessment Office at: blairassessment@blairco.org or by calling the office at: (814) 693-3110.

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Blair County
2023

Bradford County - Access Lines

Bradford County Access Lines

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Bradford County
2023

Bradford County - Addresses

Bradford County Addresses

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Bradford County
2023

Bradford County - Municipal Boundaries

Bradford County Municipal Boundaries

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Bradford County
2023

Bradford County - Parcel Hooks

Bradford County Parcel Hooks

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Bradford County
2023

Bradford County - Parcels

Bradford County Parcels

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Bradford County
2023

Bradford County - Road Centerlines

Bradford County Road Centerlines

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Bradford County
2023

Bucks County - Agricultural Preservation Program

Agricultural Preservation Program

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Bucks County
2022

Bucks County - Drop Box Locations

Drop Box Locations

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Bucks County
2023

Bucks County - Fire Stations

Fire Stations

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Bucks County
2023

Bucks County - Land Trust Owned

Land Trust Owned

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Bucks County
2020

Bucks County - Magisterial Districts

Magisterial Districts

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Bucks County
2020

Bucks County - Major Roads

Major Roads

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Bucks County
2023

Bucks County - Municipal Boundary

Municipal Boundary

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Bucks County
2023

Bucks County - Municipal Parks Open Space

Municipal Parks Open Space

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Bucks County
2023

Bucks County - Municipal Zoning

Municipal Zoning

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Bucks County
2023

Bucks County - Natural Areas Program

Natural Areas Program

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Bucks County
2020

Bucks County - PA Congressional Districts

PA Congressional Districts

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Bucks County
2020

Bucks County - PA State Assembly Districts

PA State Assembly Districts

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Bucks County
2020

Bucks County - PA State Senate Districts

PA State Senate Districts

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Bucks County
2024

Bucks County - Parcels

Parcels

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Bucks County
2023

Bucks County - Police Departments

Police Departments

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Bucks County
2022

Bucks County - Polling Places

Bucks County Polling Places

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Bucks County
2023

Bucks County - Proposed Developments

Proposed Developments

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Bucks County
2023

Bucks County - Road Centerlines

Road Centerlines

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Bucks County
2020

Bucks County - School Districts

School Districts

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Bucks County
2023

Bucks County - Schools

Schools

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Bucks County
2024

Bucks County - Site Address Points

Site Address Points

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Bucks County
2023

Bucks County - Trails

Trails

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Bucks County
2022

Bucks County - Voting Precincts

Bucks County Voting Precincts

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Bucks County
2022

Bucks County - Watersheds

Watersheds

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Bucks County
2023

Butler County - Address Points

Butler County, Pennsylvania address points.

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Butler County
2022

Butler County - Municipalities

Municipalities boundary outlines of Butler County.

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Butler County
2023

Butler County - Parcels

Boundary outlines of individual properties in Butler County.

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Butler County
2023

Butler County - Street Centerlines

Street Centerlines

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Butler County
2024

Cambria County Address Points

This dataset contains wetlands in Cambria County.

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Cambria County
2023

Cambria County Airport Runway

This dataset contains airport runways for Cambria County.

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Cambria County
2023

Cambria County Bridges

This dataset contains bridges of for Cambria County.

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Cambria County
2023

Cambria County Ditches

This dataset contains ditches for Cambria County.

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Cambria County
2023

Cambria County Driveways

This dataset contains driveways for Cambria County.

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Cambria County
2023

Cambria County Islands

This dataset contains islands for Cambria County.

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Cambria County
2024

Cambria County Parcels

This dataset contains wetlands in Cambria County.

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Cambria County
2023

Cambria County Railroads

This dataset contains railroads for Cambria County.

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Cambria County
2023

Cambria County Rivers

This dataset contains rivers of Cambria County.

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Cambria County
2023

Cambria County Streams

This dataset contains streams of Cambria County.

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Cambria County
2024

Cambria County Street Centerlines

This dataset contains street centerlines for Cambria County.

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Cambria County
2023

Cambria County Structures

This dataset contains structures of Cambria County.

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Cambria County
2023

Cambria County Waterbodies

This dataset contains waterbodies in Cambria County.

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Cambria County
2023

Cambria County Wetlands

This dataset contains wetlands in Cambria County.

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Cambria County
2020

Carbon County - Centerlines

This dataset contains street centerlines for vehicular and foot traffic in Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - Municipal Boundaries

Data was created to portray the boundaries of the 23 Municipalities in Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - Railroads

Railroad Centerlines in Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - School Districts

School Districts in Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - Soils

Soils types in Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - WaterBodies

Polylgon geometric features representing the waterbodiies of Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - Watercourses

Geometric features representing the waterways Carbon County, Pennsylvania

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Carbon County
2020

Carbon County - ZipCodes

Zip code boundaries that lie within Carbon County

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Carbon County
2020

Carbon County - Zoning Overall

Boundaries of Carbon County Zoning Base Districts

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Carbon County
2023

Centre County - Affordable Housing

Affordable Housing

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Centre County
2023

Centre County - Electric Company Boundaries

Electric Company Boundaries

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Centre County
2024

Centre County - Parcels

This Parcels layer contains basic geometry and attribute information. It is maintained by the Tax Assessment staff with the assistance of the GIS Department. This contains NO ownership information. Please contact the GIS Department for this dataset.

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Centre County
2023

Centre County - Source Water Protection

Source Water Protection

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Centre County
2023

Centre County - Streets

Streets

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Centre County
2023

Centre County - Voting Locations

Voting Locations

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Centre County
2023

Centre County - Water Lines

Water Lines

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Centre County
2023

Centre County - Water Treatment Plants

Water Treatment Plants

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Centre County
2023

Centre County -Tunnels

Tunnels

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Centre County
2022

Chesapeake Bay Watershed Land Cover Data Series - Land Cover Change (LCC) 2013/2014 to 2017/2018

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2022

Chesapeake Bay Watershed Land Cover Data Series - Land Use and Land Cover 2013/2014

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2022

Chesapeake Bay Watershed Land Cover Data Series - Land Use and Land Cover 2017/2018

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2022

Chesapeake Bay Watershed Land Cover Data Series - Land Use and Land Cover Change (LULCC) 2013/2014 to 2017/2018

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2022

Chesapeake Bay Watershed Land Cover Data Series 2013/2014

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2022

Chesapeake Bay Watershed Land Cover Data Series 2017/2018

The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the University of Vermont’s Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter 13-class Land Cover (LC) and 54-class Land Use/Land Cover (LULC) for all counties within or adjacent to the Chesapeake Bay watershed for 2013/14 and 2017/18, depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. Additionally, 54 LULC classes are generalized into 18 LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 12 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 54 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 54x54 LULC classes. The Chesapeake Bay Water (CBW) indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested change transitions across the entire county, they will use LULC Matrix. The database includes the following data: 1. 2013/2014 Land Cover (LC) 2. 2017/2018 Land Cover (LC) 3. 2013/2014 to 2017/2018 Land Cover Change (LCC) 4. 2013/2014 Land Use and Land Cover (LULC) 5. 2017/2018 Land Use and Land Cover (LULC) 6. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) and LULCC matrices To start using the data please refer to the data_dictionary_2022-Edition.pdf (see under Attached Files). How to cite: When using the Chesapeake Bay Land Use/Land Cover Database or producing derivatives, the data must be properly cited based on the following criteria. Citing Entire Data Release Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L. Citing Land Cover (LC) and/or Land Cover Change (LCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Cover: U.S. Geological Survey data release. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover (LULC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover: U.S. Geological Survey data release. Developed by the Chesapeake Conservancy, U.S. Geological Survey and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Land Use/Land Cover Change (LULCC) Products Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition: Land Use/Land Cover Change: U.S. Geological Survey data release. Developed by the U.S. Geological Survey, Chesapeake Conservancy, and University of Vermont Spatial Analysis Lab, https://doi.org/10.5066/P981GV1L. Citing Data Dictionary Chesapeake Bay Program, 2023, Chesapeake Bay Land Use and Land Cover Database 2022 Edition – Data Dictionary for the Chesapeake Bay Land Use/Land Cover Database, 2022 Edition: U.S. Geological Survey data release, https://doi.org/10.5066/P981GV1L

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Chesapeake Bay Program
2023

Chester County - Address Points

This dataset contains Address Points in Chester County

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Chester County
2011

Chester County - Airports

One of the planimetric layers developed and owned by Chester County as part of the Chester County Land Records System (ChesCO-LRS) project. The airports were photogrammetrically compiled (stereo digitized) from the aerial photography taken April 07, 1993.

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Chester County
2013

Chester County - Bridges

One of the planimetric layers developed and owned by Chester County as part of the Chester County Land Records System (ChesCO-LRS) project. The bridge data was photogrammetrically compiled (stereo digitized) from the aerial photography taken April 07, 1993 and other sources.

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Chester County
2015

Chester County - Building Footprints

Footprints for all buildings and out buildings in Chester County.

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Chester County
2013

Chester County - Cemeteries

One of the planimetric layers developed and owned by Chester County as part of the Chester County Land Records System (ChesCO-LRS) project. The cemetery data was photogrammetrically compiled (stereo digitized) from the aerial photography taken April 07, 1993.

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Chester County
2011

Chester County - County Boundary

The data describes the boundary of the Chester County. The boundary was captured from the County tax assessment maps. Original maps at 1"=400' and 1"=100' scales were compiled at 1"=200' through the digital tax parcel conversion project.

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Chester County
2020

Chester County - Election Polling Places

Polling place locations and information within Crawford County PA

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Chester County
2013

Chester County - Higher Education Facilities

Higher education facilities in Chester County. The attributing contains education facility name.

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Chester County
2023

Chester County - Municipal Boundaries

The data describes the municipal boundaries within Chester County. There are 73 municipalities within Chester County. The boundaries were captured from the County tax assessment maps. Original maps at 1"=400' and 1"=100' scales were compiled at 1"=200' through the digital tax parcel conversion project.

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Chester County
2023

Chester County - Parcels

Boundary outlines of individual properties in Chester County

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Chester County
2020

Chester County - Road Centerlines

This dataset contains road centerlines for vehicular and foot traffic in Chester County.

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Chester County
2013

Chester County - School District Boundaries

School Districts in Chester County.

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Chester County
2013

Chester County - Schools

Schools in Chester County with their names in the attribute files.

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Chester County
2017

Chester County - Zip Codes

Zipcodes of Chester County

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Chester County
2016

Philadelphia - Rising Boundaries

PhillyRising’s 19 active neighborhoods as of FY15. These areas were identified in partnership with the Police Department for their high rates of violent crime and quality of life issues, including poverty. PhillyRising strives to advance City services and community partnerships within these neighborhoods.

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City of Philadelphia
2016

Philadelphia OHCD - Choice Neighborhoods

The Choice Neighborhoods program is administered by the U.S. Department of Housing and Urban Development (HUD). It supports locally driven strategies to address struggling neighborhoods with distressed public or HUD-assisted housing through a comprehensive approach to neighborhood transformation.

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City of Philadelphia
2016

Philadelphia Parks - Parks points

The points of parks owned and managed by Philadelphia Parks and Recreation. This layer was created to be used for the Philadelphia Parks and Recreation website.

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City of Philadelphia
2004

Philadelphia 2004 Topographic Contours - 10ft

Planimetric Coverage containing the delineation of topographic contours at ten foot intervals. Annotation of Contour Line elevations exists. Annotation viewable at 1" = 200'. The city-wide contour download file is approximately 250 megabytes.

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City of Philadelphia
2004

Philadelphia 2004 Topographic Contours - 2ft

Planimetric Coverage containing the delineation of topographic contours at two foot intervals. Annotation of Contour Line elevations exists. Annotation viewable at 1" = 200'. The city-wide contour download file is approximately 250 megabytes.

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City of Philadelphia
2008

Philadelphia 2008 – DEM

LiDAR and LAS data was gathered for the City of Philadelphia in April 2008. DEMs were generated from the raw data.

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City of Philadelphia
2010

Philadelphia 2010 – DEM

LiDAR and LAS data was gathered for the City of Philadelphia in April 2010. DEMs were generated from the raw data.

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City of Philadelphia
2015

Philadelphia 2015 – DEM 5ft

Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2015

Philadelphia 2015 – DEM 5ft Hillshade

Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2015

Philadelphia 2015 Topographic Contours – 10ft

The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. The GIS Services Group at OIT generated these 10ft Contours for the 2015 1ft Contours.

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City of Philadelphia
2015

Philadelphia 2015 Topographic Contours – 1ft

The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. Lidar Data Products for the Philadelphia, PA collection area including a 5ft Digital Elevation Model (DEM), and tiled1ft Contours.

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City of Philadelphia
2015

Philadelphia 2015 Topographic Contours – 2ft

The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. The GIS Services Group at OIT generated these 2ft Contours from the 2015 1ft Contours.

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City of Philadelphia
2018

Philadelphia 2018 – DEM

DEM/Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2018

Philadelphia 2018 – Hillshade

DEM/Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEM/Hillshade was generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2018

Philadelphia 2018 Topographic Contours - 10ft

Planimetric Coverage containing the delineation of topographic contours at ten foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels

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City of Philadelphia
2018

Philadelphia 2018 Topographic Contours- 2ft

Planimetric Coverage containing the delineation of topographic contours at two foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2022

Philadelphia 2022 – Contours 10ft

Contours 10ft - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf

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City of Philadelphia
2022

Philadelphia 2022 – DEM

DEM - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf

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City of Philadelphia
2022

Philadelphia 2022 – Hillshade

Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf

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City of Philadelphia
2022

Philadelphia 2022 Topographic Contours- 1ft

Topographic Contours 1ft - Planimetric Coverage containing the delineation of topographic contours at one foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf

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City of Philadelphia
1996

Philadelphia Aerial Photography 1996

Philadelphia aerial photography

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City of Philadelphia
1996

Philadelphia Aerial Photography 1996 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2000

Philadelphia Aerial Photography 2000

Philadelphia aerial photography

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City of Philadelphia
2000

Philadelphia Aerial Photography 2000 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2004

Philadelphia Aerial Photography 2004

Philadelphia aerial photography

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City of Philadelphia
2004

Philadelphia Aerial Photography 2004 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2005

Philadelphia Aerial Photography 2005

Philadelphia aerial photography

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City of Philadelphia
2005

Philadelphia Aerial Photography 2005 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2008

Philadelphia Aerial Photography 2008

Philadelphia aerial photography

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City of Philadelphia
2008

Philadelphia Aerial Photography 2008 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2009

Philadelphia Aerial Photography 2009

Philadelphia aerial photography

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City of Philadelphia
2009

Philadelphia Aerial Photography 2009 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2010

Philadelphia Aerial Photography 2010

Philadelphia aerial photography

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City of Philadelphia
2010

Philadelphia Aerial Photography 2010 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2011

Philadelphia Aerial Photography 2011

Philadelphia aerial photography

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City of Philadelphia
2011

Philadelphia Aerial Photography 2011 - Leaf On

Philadelphia aerial photography - Leaf On

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City of Philadelphia
2011

Philadelphia Aerial Photography 2011 - Leaf On - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2011

Philadelphia Aerial Photography 2011 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2012

Philadelphia Aerial Photography 2012

Philadelphia aerial photography

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City of Philadelphia
2012

Philadelphia Aerial Photography 2012 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2014

Philadelphia Aerial Photography 2014

Philadelphia aerial photography

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City of Philadelphia
2014

Philadelphia Aerial Photography 2014 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2015

Philadelphia Aerial Photography 2015

Philadelphia aerial photography

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City of Philadelphia
2015

Philadelphia Aerial Photography 2015 - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2016

Philadelphia Aerial Photography 2016 1m

Philadelphia aerial photography

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City of Philadelphia
2016

Philadelphia Aerial Photography 2016 1m - Tile Index

Philadelphia aerial photography

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City of Philadelphia
2016

Philadelphia Aerial Photography 2016 3in

Philadelphia aerial photography

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City of Philadelphia
2016

Philadelphia Aerial Photography 2016 3in - tile Index

Philadelphia aerial photography 3 inch pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2017

Philadelphia Aerial Photography 2017 - Mosaics

Philadelphia aerial photography city wide mosaic. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2017

Philadelphia Aerial Photography 2017 1m

Philadelphia aerial photography 1 meter pixels. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2017

Philadelphia Aerial Photography 2017 1m - tile index

Philadelphia aerial photography 1 meter pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2017

Philadelphia Aerial Photography 2017 3in

Philadelphia aerial photography 3 inch pixels. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2017

Philadelphia Aerial Photography 2017 3in - tile index

Philadelphia aerial photography 3 inch pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.

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City of Philadelphia
2018

Philadelphia Aerial Photography 2018

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2018

Philadelphia Aerial Photography 2018 - tile index

Tile Index - Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2019

Philadelphia Aerial Photography 2019

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2019

Philadelphia Aerial Photography 2019 - tile index

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2020

Philadelphia Aerial Photography 2020

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2020

Philadelphia Aerial Photography 2020 - tile index

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2022

Philadelphia Aerial Photography 2022

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2022

Philadelphia Aerial Photography 2022 - tile index

Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.

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City of Philadelphia
2016

Philadelphia Airport - Amenities

This file reflects the current Amenities at PHL. (Philadelphia International Airport)

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City of Philadelphia
2016

Philadelphia Airport - Art

This file reflects the current Art Exhibits at PHL. (Philadelphia International Airport)

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City of Philadelphia
2016

Philadelphia Airport - Parking Lot Entry/Exit

This data has been developed to manage PHL's (Philadelphia International Airport) parking entrances and exits in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Parking Lots

This data has been developed to manage PHL's (Philadelphia International Airport) public parking lots in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Rental Car Locations

This data has been developed to manage PHL's (Philadelphia International Airport) rental car locations by name in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Rental Car Lots

This data has been developed to manage PHL's (Philadelphia International Airport) rental car lots by name in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Roadway Zones

This data has been developed to manage PHL's(Philadelphia International Airport) transit stops and vehicle zones in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Runways

This data has been developed to manage PHL's (Philadelphia International Airport) runaways and their assests in an interactive/ geographically illustrated format.

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City of Philadelphia
2016

Philadelphia Airport - Terminal Buildings

This data has been developed to display terminal buildings at the Philadelphia International Airport.

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City of Philadelphia
2016

Philadelphia Airport - Vendors

Vendor Locations at the PHL International Airport.

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City of Philadelphia
2012

Philadelphia Bike Network and Supporting Datasets

Philadelphia bike network and supporting datasets is an experimental dataset that combines various City of Philadelphia departments' datasets to support bike network routing. These datasets are in an experimental stage and are not yet approved for wide use. Use with caution is recommended. Datasets include Bike Network, Connector Streets, Regional Routes, and Trails and Side paths. For source, date, limitations and additional data for each supporting dataset, please see metadata.

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City of Philadelphia
2012

Philadelphia Bike Racks

This dataset is a combination of both bike racks installed in 2008 as a result of Adopt-a-rack program and racks installed by converting parking meters by the Philadelphia Parking Authority. Those racks installed in 2008 as part of the City's first Adopt-a-rack program were requested by civic and business associations who "adopted" them and promised to clear abandoned bikes, remove graffiti and maintain them if they were damaged. These bike racks are in the style of 'staple' or 'hoop' racks. The PPA racks are those mounted to the former parking meter posts. They are the green discs that have been installed through Center City and parts of University City. The PROJECT field defines the associated project of installation, either Adopt-a-rack or PPA. The STAND_ADD field is most appropriate for address locating or geocoding purposes. Please note the field NUM_RACKS represents the number of racks at a given address. Each record may represent more than one bike rack.

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City of Philadelphia
2010

Philadelphia Building 3D Models 2010

Files used to comprise a 3D building model of the City of Philadelphia

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City of Philadelphia
2015

Philadelphia Building 3D Models 2015

Files used to comprise a 3D building model of the City of Philadelphia

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City of Philadelphia
2017

Philadelphia Buildings

Planimetric Coverage containing the delineation of buildings or related structure outlines that represent the footprints of buildings within the City of Philadelphia. Outlines are based on imagery captured in early 2015. FEATURES DELINEATED: -Residential, commercial and industrial buildings -Isolated garages, mobile homes, sheds -Greenhouses and silos -Buildings under construction that at least have walls -Trailer boxes with windows or doors Data was captured from AccuPLUS Orthomosaic tiles created off PAPHIL15-LEAF-OFF imagery, flown by Pictometry.

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City of Philadelphia
2010

Philadelphia Census Block Groups

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas. Some boundary details clarified by Philadelphia City Planning Commission May 2011

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City of Philadelphia
2000

Philadelphia Census Tracts

Census bureau statistical units. Most commonly used statistical unit. This version, released January 2004 contains a fix, replacing tract 172 which was omitted from previous versions.

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City of Philadelphia
2010

Philadelphia Census Tracts 2010

Census tracts are small, relatively permanent statistical subdivisions of a county delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The U.S. Census Bureau delineated census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. Counties with fewer people have a single census tract.) When first delineated, census tracts are designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over many decades so that statistical comparisons can be made from decennial census to decennial census. However, physical changes in street patterns caused by highway construction, new developments, and so forth, may require occasional boundary revisions. In addition, census tracts occasionally are split due to population growth or combined as a result of substantial population decline.Census tracts are identified by a four-digit basic number and may have a two-digit numeric suffix; or example, 6059.02. The decimal point separating the four-digit basic tract number from the two-digit suffix is shown in the printed reports and on census maps. In computer-readable files, the decimal point is implied. Many census tracts do not have a suffix; in such cases, the suffix field is either left blank or is zero-filled. Leading zeros in a census tract number (for example, 002502) are shown only in computer-readable files. Census tract suffixes may range from .01 to .98. For the 1990 census, the .99 suffix was reserved for census tracts/block numbering areas (BNAs) that contained only crews-of-vessels population; for Census 2000, the crews-of-vessels population is part of the related census tract.Census tract numbers range from 1 to 9999 and are unique within a county or statistically equivalent entity. The U.S. Census Bureau reserves the basic census tract numbers 9400 to 9499 for census tracts delineated within or to encompass American Indian reservations and off-reservation trust lands that exist in multiple states or counties. The number 0000 in computer-readable files identifies a census tract delineated to provide complete coverage of water area in territorial seas and the Great Lakes. Projection: Lambert Conformal ConicXY Coordinate System: NAD 1983 StatePlane Pennsylvania South FIPS 3702 (US Feet)Datum: NAD 1983Units of Measurement: Foot_US

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City of Philadelphia
2016

Philadelphia Commerce - Business Services Market Areas

This polygon layer represents the Market Areas for each representative from the Department of Commerce Office of Business Services (OBS). All polygons (nearly all of which correspond to zip codes) associated with an OBS representative’s name comprise that representative’s Market Area.

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City of Philadelphia
2016

Philadelphia Commerce - Storefront Improvement

This data set reflects the recipients, award amounts, and project sites for grant money disbursed by the Philadelphia Commerce Department for the Storefront Improvement Program whereby businesses are provided the funds to improve the exterior of their storefront and beautify the commercial corridor on which they operate.

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City of Philadelphia
2016

Philadelphia Correctional Facilities (points)

correctional facility points in the City, administered by the Philadelphia Prisons System

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City of Philadelphia
1990

Philadelphia Council Districts

District boundaries of municipal legislators.

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City of Philadelphia
2000

Philadelphia Council Districts

District Boundaries of Municipal Legislators

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City of Philadelphia
2024

Philadelphia County - Parcels

This dataset is composed of the entire City of Philadelphia's parcels based on their legal descriptions.

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City of Philadelphia
2012

Philadelphia Empowerment Zones

Commercial/industrial zones with special amenities.

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City of Philadelphia
2012

Philadelphia Enterprise Zones

Commercial/industrial zones with special amenities

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City of Philadelphia
2016

Philadelphia Fire Department Facilities

Philadelphia Fire Department Fire Station Locations.

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City of Philadelphia
2016

Philadelphia Geographic Market Areas

Polygon boundaries of geographic market areas in the city of Philadelphia.

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City of Philadelphia
2013

Philadelphia Green Stormwater Infrastructure Projects

Green City, Clean Waters is Philadelphia's 25-year plan to protect and enhance our watersheds by managing stormwater with green infrastructure. This feature class represents Green Stormwater Infrastructure (GSI) locations that are currently in the design phase or have been constructed. Features updated: 01/25/2013 Attributes updated: 01/25/2013 Metadata updated 01/25/2013 Update Frequency - monthly

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City of Philadelphia
2016

Philadelphia Health - Air Monitoring Station

Street location and types of pollutants sampled at each PDPH air monitoring station. Current as of 7/1/15.

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City of Philadelphia
2016

Philadelphia Health - Collisions Crash 2011 - 2014 PUBV

This data set contains crash data for the years 2011-2014 from the Pennsylvania Department of Transportation.

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City of Philadelphia
2016

Philadelphia Health - Diabetes Prevention Programs

Locations of Diabetes Prevention Program sites.

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City of Philadelphia
2016

Philadelphia Health - Farmers Markets

Locations of farmers markets.

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City of Philadelphia
2016

Philadelphia Health - Health Centers

Primary care health centers.

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City of Philadelphia
2016

Philadelphia Health - Healthy Corner Stores

Healthy corner stores as of 4/22/15.

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City of Philadelphia
2016

Philadelphia Health - Heart Healthy Screening Sites

Street location, contact information and hours for medical screening sites that are partnered with the PDPH Office of Health Information and Improvement. This dataset is the schedule for April 2015.

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City of Philadelphia
2016

Philadelphia Health - Hospital

Locations of Philadelphia hospitals.

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City of Philadelphia
2016

Philadelphia Health - LNA HP Food Access

City blocks where there is low or no walkable access to healthy food and high poverty.

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City of Philadelphia
2016

Philadelphia Health - Start CRCs

Street location, hours and contact information of PDPH-affiliated Healthy Start Community.

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City of Philadelphia
2015

Philadelphia Impervious Surfaces

Planimetric Coverage containing the delineation of impervious surfaces for studying and calculating drainage runoff. This coverage shows surface features that are visible on the aerial photography, and is sometimes referred to as the landbase.

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City of Philadelphia
2008

Philadelphia Land Cover Raster 2008

High resolution land cover dataset for Philadelphia. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at ten square feet. The primary sources used to derive this land cover layer were 2008 Orthophotography and 2008 LiDAR LAS data. Ancillary data sources included GIS data (building footprints, road polygons, and hydrography) provided by City of Philadelphia. This land cover dataset is considered current as of 2008. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control. More than 30700 corrections were made to the classification.

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City of Philadelphia
2018

Philadelphia Land Cover Raster 2018

High resolution land cover dataset for Philadelphia,Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2018 LiDAR data and 2017 NAIP imagery. Ancillary data sources included GIS data provided by Philadelphia,Pennsylvania or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3500 and all observable errors were corrected.

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City of Philadelphia
2012

Philadelphia Libraries

Free Library of Philadelphia locations (branches and Central) are represented as point features. Feature Update Date: 05-2012

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City of Philadelphia
2008

Philadelphia LiDAR – LAS Files 2008

LiDAR data collection performed over the City of Philadelphia, PA in April of 2008. Products generated include Breaklines, 10ft DEM and 5ft DEM.

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City of Philadelphia
2010

Philadelphia LiDAR – LAS Files 2010

LiDAR data collection performed over the City of Philadelphia, PA in April of 2010. Products generated include Breaklines, 10ft DEM and 5ft DEM.

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City of Philadelphia
2015

Philadelphia LiDAR - LAS Files 2015

This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2018

Philadelphia LiDAR - LAS Files 2018

2018 LiDAR – 8ppm – Classified. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. Key attribute field names and descriptions: LiDAR Classification Categories: 0 Created Not Classified 1 Unclassified 2 Ground 3 Low vegetation 4 Vegetation 5 High vegetation 6 Building 9 Water 17 Bridge Deck

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City of Philadelphia
2022

Philadelphia LiDAR - LAS Files 2022

LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf

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City of Philadelphia
2015

Philadelphia LiDAR 2015 - Terrain Products

Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.

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City of Philadelphia
2012

Philadelphia Major Multiuse Trail

This file features polylines representing the major trails in the Philadelphia Parks & Recreation (PPR) system. It is not comprehensive of all trails thoughout the system. Other minor and rogue trails do exist and are not represented here. Data Development:Data were created by PP&R staff using historic information from the Fairmount Park Commission and Department of Recreation data archives. The data was primarily sourced using GPS technology. In certain cases data were created through orthophotography, georeferenced civil plans, and hard copy mapsTrail data is updated on a regular basis to indicate new trails, closed trails, and trails undergoing restoration or expansion. - Features updated: 13/09/2012 - Attributes updated: 13/09/2012 - Metadata updated: 13/09/2012

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City of Philadelphia
2000

Philadelphia Municipal Legislative Boundaries

District boundaries of municipal legislators.

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City of Philadelphia
2016

Philadelphia Park Boundaries

The boundaries of large and small parks owned and operated by Philadelphia Parks and Recreation. Last updated January 2012.

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City of Philadelphia
2016

Philadelphia Parks - Playgrounds

This data identifies playground equipment sites that are maintained by or located in the Philadelphia Parks & Recreation system.

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City of Philadelphia
2016

Philadelphia Parks - Art Monuments points

Provides location, description, and artist information for art, sculpture, and monuments in Philadelphia Parks & Recreation system.

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City of Philadelphia
2016

Philadelphia Parks - Assets

PPR Assets are Philadelphia Parks and Recreation owned buildings and facilities that can be used for programming and inventory purposes. Several buildings that are within Philadelphia parks are included only if they are owned by Parks and Recreation. Facilities are primarily owned by Philadelphia Parks and Recreation but there is instances were a property may be owned by a school district, the city, or an unknown source.

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City of Philadelphia
2016

Philadelphia Parks - Boat Launches

Boat launches are areas where boats such as kayaks, canoes, and or motorboats can be launched in either the Schuylkill River or Delaware River. This layer contains areas in New Jersey as well, only if they are along the Delaware River and around the City of Philadelphia's county lines. This layer can be used for programming and inventory purposes as well. Several launches lie within the Philadelphia Parks and Recreation property but this can be determined by the attribute table information.

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City of Philadelphia
2016

Philadelphia Parks - Districts

Boundaries of Philadelphia Parks & Recreation (PPR) Operational Districts as established in the fall of 2011 and made effective 01/01/2012.

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City of Philadelphia
2016

Philadelphia Parks - Fountains

Location of fountains that are owned or maintained by Philadelphia Parks & Recreation

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City of Philadelphia
2016

Philadelphia Parks - Golf points

The points of golf and driving range properties owned and operated by Philadelphia Parks and Recreation. This layer was created to be used for the Philadelphia Parks and Recreation website.

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City of Philadelphia
2016

Philadelphia Parks - Historic House points

The points of historic houses owned and operated by Philadelphia Parks and Recreation. This layer was created to be used for the Philadelphia Parks and Recreation website.

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City of Philadelphia
2016

Philadelphia Parks - Ice Rinks points

The points of ice rinks owned and managed by Philadelphia Parks and Recreation. This layer was created to be used for the Philadelphia Parks and Recreation website.

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City of Philadelphia
2016

Philadelphia Parks - Older Adult Center points

Locations of Older Adult Centers in PPR buildings and/or staffed by PPR employees

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City of Philadelphia
2016

Philadelphia Parks - Parking Areas points

Parking areas and lots within Philadelphia parks and recreational areas.

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City of Philadelphia
2016

Philadelphia Parks - Pools/Spraygrounds

This layer contains the installed pools and spray grounds that are owned or maintained by Phildelphia's park system. This layer was created to be used for the Philadelphia Parks and Recreation website.

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City of Philadelphia
2016

Philadelphia Parks - Recreation Facilities points

Location of recreation facilities within the City of Philadelphia that are owned, programed or managed by Philadelphia Parks & Recreation. This layer does not include Older Adult Centers.

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City of Philadelphia
2016

Philadelphia Planning - Zoning Steep Slope Protect Area

Boundaries of the City's Steep Slope Overlay district.

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City of Philadelphia
2016

Philadelphia Planning - City Limits

To provide a base for very generalized maps or used as an outline in conjunction with other datalayers. Establishes City Limits for City's Standard Boundary Format. This layer was updated on July 22, 2012.

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City of Philadelphia
2016

Philadelphia Planning - Commercial Corridors

commercial corridors, centers, districts, and projects that provide consumer-oriented goods and services, including retail, food and beverage, and personal, professional, and business services.

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City of Philadelphia
2020

Philadelphia Planning - Complete Streets Types Standards

The Complete Streets Layer combines the Street Types developed by the City Planning Commission’s Pedestrian and Bicycle Plan, with the Complete Streets Handbook of the Mayor’s Office of Transportation and Utilities. It allows developers, planners, engineers and community groups to easily identify their street type and associated pedestrian, bicycle and other travel priorities to be included during the planning of new streets or large developments.

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City of Philadelphia
2016

Philadelphia Planning - Council Districts 2016

City Council Districts as redistricted from 2010 census. Effective 2016 ( first election year following passage of redistricting bill.)

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City of Philadelphia
2016

Philadelphia Planning - Existing Trails

Contains an inventory of all know road bikeable trails in Philadelphia, as compiled for the 2013 Philadelphia Trail Master Plan.

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City of Philadelphia
2016

Philadelphia Planning - Land Use

City of Philadelphia land use as ascribed to individual parcel boundaries or units of land. Land use is the type of activity occurring on the land such as residential, commercial or industrial. Each unit of land is assigned one of nine major classifications of land use (2-digit code), and where possible a more narrowly defined sub-classification (3-digit code). The land use feature class has been field checked and corrected for the following Planning Districts. The year of the update is in parentheses: Central (2012) Central Northeast (2013) Lower North (2013) Lower Northeast (2012) Lower Northwest (2013) Lower South (2011) River Wards (2014) South (2014) West Park (2011) University Southwest (2012) Hunting Park West (2015) North Delaware (2015) Lower Southwest (2015) Germantown (2015) Portions along Roosevelt Boulevard (2015)

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City of Philadelphia
2016

Philadelphia Planning - Neighborhoods

To display the geographic extent commonly ascribed to a given neighborhood

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City of Philadelphia
2016

Philadelphia Planning - Philadelphia Promise Zone

Promise Zone boundary for West Philadelphia neighborhood.

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City of Philadelphia
2016

Philadelphia Planning - Planning Districts

To illustrate the outlines of the 18 Districts for Philadelphia2035 District Plans

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City of Philadelphia
2020

Philadelphia Planning - Political Divisions

A Political Division is a subdivision of a Political Ward. Each ward contains no fewer than 10 and no more than 50 divisions.

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City of Philadelphia
2016

Philadelphia Planning - Political Wards

A Political Ward contains no fewer than 10 and no more than 50 divisions. The Ward_Num field is used to identify and label Wards.

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City of Philadelphia
2016

Philadelphia Planning - Schools

The point locations of public (School District of Philadelphia), charter, private and archdiocesan schools in the City of Philadelphia.

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City of Philadelphia
2016

Philadelphia Planning - Zoning Base Districts

Boundaries of the City of Philadelphia Zoning Base Districts enacted December 15, 2011 and made effective August 22, 2012. Data updates are on-going.

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City of Philadelphia
2016

Philadelphia Planning - Zoning RCO

Boundaries of Registered Community Organizations (RCO) as established under the City of Philadelphia Zoning Code enacted December 15, 2011 and made effective August 22, 2012.

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City of Philadelphia
2005

Philadelphia Planning Analysis Sections

Planning Analysis Sections for Philadelphia

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City of Philadelphia
2016

Philadelphia Police - Boundaries District

This feature class is the administrative boundaries for the Philadelphia Police Department's districts.

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City of Philadelphia
2016

Philadelphia Police - Boundaries Division

This feature class is the administrative boundaries for the Philadelphia Police Department's divisions. Divisions are subdivided into districts.

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City of Philadelphia
2016

Philadelphia Police - Boundaries PSA

There are currently 65 Police Service Areas (PSA) boundaries in Philadelphia with two to four per District. These boundaries replaced a much smaller boundary, Sectors in 2009.

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City of Philadelphia
2016

Philadelphia Police - CCD Bounary

The Center City District (CCD) is a business improvement district. The mission is to keep Center City clean, safe, and fun. CCD also makes phyiscal improvements to center city by installing and maintain lighting, signs, banners trees and landscape.

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City of Philadelphia
2016

Philadelphia Police - CCD POLICE

This layer displays their policing boundary for the Center City District (CCD) business improvement district.

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City of Philadelphia
2016

Philadelphia Police - Correctional Facilities

This feature class contains polygons that illustrate 10 correctional facilities in the City, adminstered by Philadelphia Prisons System.

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City of Philadelphia
2016

Philadelphia Police - Correctional points

This feature class contains points that represent 10 correctional facilities in the City, administered by Philadelphia Prisons System.

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City of Philadelphia
2016

Philadelphia Police - Courts

Point data of all First Judicial District of PA courts.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS

All Part 1 crime , UCR (100-799), is included in this layer starting from 2006.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2006

All Part 1 crime , UCR (100-799), is included in this layer starting for the year 2006.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2007

All Part 1 crime , UCR (100-799), is included in this layer for the year 2007.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2008

All Part 1 crime , UCR (100-799), is included in this layer for the year 2008.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2009

All Part 1 crime , UCR (100-799), is included in this layer for the year 2009.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2010

All Part 1 crime , UCR (100-799), is included in this layer for the year 2010.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2011

All Part 1 crime , UCR (100-799), is included in this layer for the year 2011.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2012

All Part 1 crime , UCR (100-799), is included in this layer for the year 2012.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2013

All Part 1 crime , UCR (100-799), is included in this layer for the year 2013.

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City of Philadelphia
2016

Philadelphia Police - INCIDENTS 2014

All Part 1 crime , UCR (100-799), is included in this layer for the year 2014.

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City of Philadelphia
2016

Philadelphia Police - PAL Centers

This data was developed for cartographic use -- specifically, as reference information for the Police Athletic League.

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City of Philadelphia
2016

Philadelphia Police - Police Stations

Point locations of the Police District Headquarters in Philadelphia

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City of Philadelphia
2010

Philadelphia Police Sector Boundaries

The shapefile is the administrative boundaries for Police Sectors. Sectors are the logical means by which police districts are subdivided. Each district is made up of 12-30 sectors. In theory, a police patrol car is assigned to each sector and a supervisor for each 3-4 sectors.

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City of Philadelphia
2013

Philadelphia Police Service Areas

These polygon features were created by Lynn Gaines of the Crime Mapping & Analysis Unit. These polys represent a new initiative by the Philadelphia Police Department. These Public Service Areas (PSA) are a new community based model for policing the Districts. A Police District can have up to 4 PSA's and as few as 2. There is a Police Liutenant assigned to each PSA and the idea is for cops to stay within their PSA's to get familiar with the residents and businesses and vice versa

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City of Philadelphia
2016

Philadelphia Political Ward Divisions

Political subdivisions. Feature Update Date: 09-2012

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City of Philadelphia
2016

Philadelphia PPR Districts

Polygon boundaries of PPR's operational districts as established by PPR's GIS staff and reviewed, revised, and approved by PPR's executive staff.

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City of Philadelphia
2009

Philadelphia redevelopment certified areas

This is a boundary file identifying Philadelphia development certified areas

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City of Philadelphia
2012

Philadelphia Registered Historic Sites - National Register

Historic Sites on the National Register. Updated by the Planning Commission in Fall, 2010.

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City of Philadelphia
2012

Philadelphia Registered Historic Sites - Philadelphia Register

Historic Sites on the Philadelphia Register. Updated by the Planning Commission in Fall, 2010.

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City of Philadelphia
2016

Philadelphia School Facilities

The location of schools in the City of Philadelphia with attribute information for address, grade level, type, and status indicating whether the school is open, proposed for closure or closed. The status field is intended to provide up to date information on school facility management conducted by all institution types.KEY ATTRIBUTE FIELDSGradeLevel – generalized description of grade levels as elementary, middle or high schoolGradeOrg – Grade Organizational Levels - estimate of grade levels range at the school, e.g., K-5Instit_Type – Institutional Type - public, private, parochial or charterActive – The current designation as active, closed or closing with expected closure date. Feature Update Date: 03-2012

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City of Philadelphia
2016

Philadelphia Services - City Faclilties

Inventory of fixed assets owned or leased by the City of Philadelphia including buildings, structures, piers, and properties (not including surplus properties). Also known as the Master Facilities database. Critical infrastructure omitted from public version.

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City of Philadelphia
2016

Philadelphia Services - Rail

This layer contains the railroad line capture from 2004 orthophotography. Sanborn’s methods for capturing railroad lines included aerial imagery and the 2004 DEM.

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City of Philadelphia
2004

Philadelphia Services - Rail 2004

This layer contains the railroad line capture from 2004 orthophotography. Sanborn’s methods for capturing railroad lines included aerial imagery and the 2004 DEM. This is one of the planimetric coverages developed as part of the aerial survey project of 1996 and updated using new aerial photography collected between 25 March 2004 and 23 April 2004.

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City of Philadelphia
2016

Philadelphia Solar Installations

information on solar technology installations across Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - Bike Network

Network of streets within City of Philadelphia with bike lanes and/or bike-friendly markings.

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City of Philadelphia
2016

Philadelphia Streets - Bridge Locations

This layer was developed to aid the Bridge Division in maintaining and referencing the bridges of the City of Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - City Owned Bridges

This layer identifies the point locations of the city owned bridges that are maintained by the Bridge Division of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - City Plan Boundary

This layer identifies the 286 city plan boundaries for the Surveys Division of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - Curblines

Edge of drivable pavement, or travelway for all drivable pavement citywide, including the edge of traffic flow islands and drivable pavement within parks

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City of Philadelphia
2016

Philadelphia Streets - Curbs

Polygons representing the area of drivable pavement citywide, as well as interior non-street polygons.

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City of Philadelphia
2016

Philadelphia Streets - Curbs No Cartways

Just internal polygons with "FCODE = 9999" representing the area of drivable pavement citywide, as well as interior non-street polygons.

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City of Philadelphia
2016

Philadelphia Streets - Highway Districts

This layer delineates the six districts of the Highway Division of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - Highway Districts arc

This layer delineates the six districts of the Highway Division of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - Highway Sections

This layer delineates the fifty-six sections of the Highway Division of the City of Philadelphia Streets Department. Sections can be aggregated into districts and subdivided into subsections.

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City of Philadelphia
2016

Philadelphia Streets - Highway Subsections

This layer delineates the 703 subsections of the Highway Division of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - Highway Subsections arc

This layer delineates the Arcs of the Polygons of the 703 subsections of the Highway Division of the City of Philadelphia Streets Department. Subsections can be aggregated into sections and districts.

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City of Philadelphia
2016

Philadelphia Streets - Historic Streets

Street segments listed on the Philadelphia Register of Historic Places as part of the Historic Street Paving Thematic District, as amended by the Historical Commission December 12th, 2014.

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City of Philadelphia
2016

Philadelphia Streets - Historic Streets Poly

Polygons for street segments listed on the Philadelphia Register of Historic Places as part of the Historic Street Paving Thematic District, as amended by the Historical Commission December 12th, 2014.

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City of Philadelphia
2016

Philadelphia Streets - Intersection Controls

This layer identifies the active intersection controls for the Street Lighting and Traffic Engineering Divisions of the City of Philadelphia Streets Department.

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City of Philadelphia
2016

Philadelphia Streets - Leaf Collection Areas

This layer identifies boundaries for City Leaf Collection Services. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Leaf Collection Areas Arc

To define the boundaries for Leaf Collection within the City of Philadelphia The arc layer contains street name attributes for labeling the outside of the polygons. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption.

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City of Philadelphia
2016

Philadelphia Streets - Leaf Collection Areas new

This layer identifies boundaries for City Leaf Collection Services. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Litter Index

The Litter Index is used to compare the relative cleanliness of different areas of the city of Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - No Thru Trucks

To map streets with no through trucks in the City of Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - Paving Plan 2015

City of Philadelphia paving plan for 2015

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City of Philadelphia
2016

Philadelphia Streets - Recycling Diversion Rate

The Recycling Diversion Rate is the rubbish collection tonage divided by the recycling collection tonnage by sanitation on collection day.

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City of Philadelphia
2016

Philadelphia Streets - Rubbish Recycle Colletion Boundary

The data is used to determine the day of collection for a given location and set of households in the City of Philadelphia. The file is also used to aggregate data such as households, tonnage, and mileage. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Sanitation Areas

Coverage of all the sanitation areas containing line, point, and polygon data used by the City of Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - Sanitation Districts

Coverage of all the sanitation districts containing line, point, and polygon data used by the City. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Sanitation Districts arc

Coverage of all the sanitation districts containing line, point, and polygon data used by the City. The arc layer contains data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption.

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City of Philadelphia
2024

Philadelphia Streets - Street Centerline

Used citywide as base layer for many purposes/applications. The street centerline is available for reference purposes only and does not represent exact engineering specifiactions. The Philadelphia Streets Department makes no guarantees as to the accuracy of the layer.

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City of Philadelphia
2016

Philadelphia Streets - Street Light Routes

Created to show the City of Philadelphia's street lighting route districts.

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City of Philadelphia
2016

Philadelphia Streets - Street Nodes

The street nodes layer was developed for use by agencies citywide including PWD, PCPC, Police, BRT, Health, etc.

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City of Philadelphia
2016

Philadelphia Streets - Street Poles

This layer was developed to aid the Street Lighting Division in planning, referencing, and maintaining the active street poles within the City of Philadelphia. Examples include: providing information regarding group replacement projects and any individual edits, using tables from layer for billing, and aiding cityworks.

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City of Philadelphia
2016

Philadelphia Streets - Streets Arterials

The Arterial layer was developed to aid various city agencies with planning, organizing, and maintaining the streets of the City of Philadelphia. These agencies include PWD, PCPC, Police, BRT, Health, etc.

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City of Philadelphia
2016

Philadelphia Streets - Traffic Districts

This layer was developed to aid the Traffic Division in planning, organizing, and maintaining traffic flow within the City of Philadelphia. Examples include: the maintenance and placing of stop signs and signals and monitoring street travel direction. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Traffic Districts arc

This is the arc file of the Traffic Districts layer. It was developed to aid the Traffic Division in planning, organizing, and maintaining traffic flow within the City of Philadelphia. Examples include: the maintenance and placing of stop signs and signals and monitoring street travel direction. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption.

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City of Philadelphia
2016

Philadelphia Streets - Traffic PM Districts

This layer was developed to aid the Traffic Division in planning, organizing, and maintaining traffic flow within the City of Philadelphia. Examples include: the maintenance and placing of stop signs and signals and monitoring street travel direction. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
2016

Philadelphia Streets - Traffic PM Districts arc

This layer was developed to aid the Traffic Division in planning, organizing, and maintaining traffic flow within the City of Philadelphia. Examples include: the maintenance and placing of stop signs and signals and monitoring street travel direction. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption.

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City of Philadelphia
2016

Philadelphia Streets - Waste Baskets Big Belly

Big Belly brand waste baskets maintained/collected by the City of Philadelphia.

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City of Philadelphia
2016

Philadelphia Streets - Waste Baskets Wire

Non Big Belly waste baskets maintained/collected by the City of Philadelphia

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City of Philadelphia
2016

Philadelphia Streets - Zipcodes Arc

The purpose of this dataset is to represent the Zip Code areas for the City of Philadelphia. The edges of Zip Codes are slightly modified for logical and cartographic purposes. The arc layer contains data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption.

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City of Philadelphia
2016

Philadelphia Streets - Zipcodes Poly

Philadelphia. The edges of Zip Codes are slightly modified for logical and cartographic purposes. This polygon layer has an accompanying arc layer. Certain arcs in the arc layer contain data signifying information relating it to the polygon layer. It can tell you if both sides of the arc belong to one of the bounding polygons. All the arcs, including those with no boundary info, have naming attributes for labeling the polygon borders. Contact the Streets GIS unit for public consumption of the corresponding arc layer.

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City of Philadelphia
1996

Philadelphia Topographic Contours

Planimetric Coverage containing the delineation of topographic contours. Annotation of Contour Line elevations exists. Annotation viewable at 1" = 200?

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City of Philadelphia
2004

Philadelphia Transparcels

This dataset is composed of the entire City of Philadelphia's transparcels based on their legal descriptions. Feature update 2004

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City of Philadelphia
2016

Philadelphia Water - Dams

This point layer represents dams. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.

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City of Philadelphia
2016

Philadelphia Water - GSI SMP Types

This layer represents Green Stormwater Infrastructure Stormwater Management Practice types. Integrating Green Stormwater Infrastructure (GSI) into a highly developed area such as Philadelphia requires a decentralized and creative approach to planning and design. Various tools can be implemented to accomplish this, including stormwater planters, rain gardens and green roofs. All of these tools help to reduce runoff volume and filter pollutants by intercepting stormwater runoff before it enters the City's combined sewer system. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.

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City of Philadelphia
2016

Philadelphia Water - Inlet

This point layer contains all the wastewater and stormwater inlet locations. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.

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City of Philadelphia
2016

Philadelphia Water - Outfall

This point layer contains all the stormwater outfalls. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.

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City of Philadelphia
2023

Philadelphia Water - PWD Parcels

The primary purpose of PWD_PARCEL layer is to calculate parcel-based stormwater charges for PWD customers under the new parcel-based stormwater billing program. The layer was created from the DOR_PARCELS layer in 2005 after it was decided that none of the other City parcel layers could meet the needs of PWD's stormwater billing program. Those needs are generally that the parcel delineations match up to what people actually own, that there is an accurate assessment of the impervious area on the parcel, and that there is owner information associated with the parcel. Over the past 5 years, PWD has made corrections based off deeds on file with DOR, BRT information, and other City records. PWD also matched up each DOR parcel to a corresponding BRT record that contained the owner information for that parcel.

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City of Philadelphia
2016

Philadelphia Water - Raingauges

The purpose of this data is to describe the Rain Gauges both locationally and via their attributes.

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City of Philadelphia
2016

Philadelphia Watercourses Designated for Protection 2012 - line

Polyline geometric features representing the center flow line of all waterways in Philadelphia only. Hydrographic polygon features included in Philadelphia Hydrology Map. This map was officially adopted by City Council as the official map of Philadelphia Watercoures Designated for Protection on September 13th, 2012. The geographic data depicts watercourses within Philadelphia County as they appear on the map and will not be edited or updated. For up to date hydrography see (GIS_WATERSHEDS.Hydrographic_Features_Poly). Base Summary: PWD's Office of Watersheds has compiled a geodatabase of Philadelphia hydrographic features for Philadelphia County and its contributing watersheds. The data is comprised of a combination of USGS's National Hydrography Dataset stream flow data, planimetric data digitized by Sanborn in 2004, and data provided by PWD field survey work. Features updated: 09/26/2012 Attributes updated: 09/26/2012 Metadata updated 09/26/2012 Update Frequency - monthly

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City of Philadelphia
2016

Philadelphia Watercourses Designated for Protection 2012 - polygon

Polylgon geometric features representing the waterways and impoundments in Philadelphia only. Hydrographic polygon features included in Philadelphia Hydrology Map. This map was officially adopted by City Council as the official map of Philadelphia Watercoures Designated for Protection on September 13th, 2012. The geographic data depicts watercourses within Philadelphia County as they appear on the map and will not be edited or updated. For up to date hydrography see (GIS_WATERSHEDS.Hydrographic_Features_Poly). Base Summary: PWD's Office of Watersheds has compiled a geodatabase of Philadelphia hydrographic features for Philadelphia County and its contributing watersheds. The data is comprised of a combination of USGS's National Hydrography Dataset stream flow data, planimetric data digitized by Sanborn in 2004, and data provided by PWD field survey work. Features updated: 09/26/2012 Attributes updated: 09/26/2012 Metadata updated 09/26/2012 Update Frequency - monthly

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City of Philadelphia
2016

Philadelphia Watersheds - Combined Sewer Service Area

Combined Sewer Service area within Philadelphia

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City of Philadelphia
2016

Philadelphia Watersheds - Green Water Infrastructure

Green City, Clean Waters is Philadelphia's 25-year plan to protect and enhance our watersheds by managing stormwater with green infrastructure. This feature class represents Green Stormwater Infrastructure (GSI) locations that are currently in the design phase or have been constructed.

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City of Philadelphia
2016

Philadelphia Watersheds - GSI Planning Districts

District planning areas for Green City, Clean Waters stormwater management strategic planning.

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City of Philadelphia
2016

Philadelphia Watersheds - GSI Private Projects Regs

Point geometric features representing land development projects in compliance with PWD’s Stormwater Regulations.

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City of Philadelphia
2016

Philadelphia Watersheds - Historic Streams Arc

Philadelphia streams as mapped by Charles Ellet in 1842 and Previous study of historic streams conducted by PWD.

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City of Philadelphia
2016

Philadelphia Watersheds - Historic Streams Polygon

Philadelphia shoreline of Delaware River and Schuylkill River, digitized as mapped by Charles Ellet in 1842. Data is digitized from georeferenced map scans.

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City of Philadelphia
2016

Philadelphia Watersheds - Hydrographic Features Arc

Polyline geometric features representing the center flow line of all waterways in Philadelphia's five major watersheds.

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City of Philadelphia
2016

Philadelphia Watersheds - Hydrographic Features Polygon

Polygon geometric features representing the waterways and impoundments in Philadelphia's five major watersheds.

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City of Philadelphia
2016

Philadelphia Watersheds - Major Watersheds Philadelphia

Polygon feature class representing major watersheds in the Philadelphia and Region.

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City of Philadelphia
2016

Philadelphia Watersheds - Major Watersheds Regional

Polygon feature class represtenting major watersheds in the Philadelphia Region.

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City of Philadelphia
2016

Philadelphia Watersheds - PWD Monitoring Locations

Locations where PWD has conducted surface water quality sampling and other types of stream assessments. Monitoring activities may include water quality grab sampling, habitat assessment, and sampling of invertebrates, fish and algae from wadeable streams. Not all assessment activities are performed at all sites.

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City of Philadelphia
2016

Philadelphia Watersheds - Rain Barrel Installed

Rain Barrel installation locations prior to RainCheck.

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City of Philadelphia
2016

Philadelphia Watersheds - Rain Check Installed

RainCheck program installation sites

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City of Philadelphia
2016

Philadelphia Watersheds - Zoning Hydrology Line 2012

Hydrographic polygon features included in Philadelphia Hydrology Map. This map was officially adopted by City Council as the official map of Philadelphia Watercoures Designated for Protection on September 13th, 2012. The geographic data depicts watercourses within Philadelphia County as they appear on the map and will not be edited or updated.

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City of Philadelphia
2016

Philadelphia Watersheds - Zoning Hydrology polygon 2012

Hydrographic polygon features included in Philadelphia Hydrology Map. This map was officially adopted by City Council as the official map of Philadelphia Watercoures Designated for Protection on September 13th, 2012. The geographic data depicts watercourses within Philadelphia County as they appear on the map and will not be edited or updated.

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City of Philadelphia
2016

Philadelphia Zoning Registered Community Organizations

The Zoning Code establishes a registry of community organizations to be managed by the Philadelphia City Planning Commission. The RCO system is designed to improve community notification of proposed developments and make community involvement more predictable across the city. RCOs became effective on August 22, 2012. Polygon boundaries of Registered Community Organizations (RCO) as established under Section 14-303 (12) of the City of Philadelphia Zoning Code enacted December 15, 2011 and made effective August 22, 2012. RCO’s register annually with the City Planning Commission and are notified of projects requiring Zoning Board approval or Civic Design Review. RCO boundaries may overlap as permitted by the Zoning Code.KEY ATTRIBUTE FIELDS:RCO Name: Name of Registered Community OrganizationType: Type of RCO.Expire Date: Date RCO registration with PCPC expiresExpire Year: Year RCO registration with PCPC expires Philadelphia Zoning-Related Websites:Registered Community Organizations -- http://www.phila.gov/CityPlanning/projectreviews/Pages/RegisteredCommunityOrganizationsZoning Code -- http://www.amlegal.com/library/pa/philadelphia.shtml and navigate to Title 14Zonng Map -- http://www.phila.gov/map On pop-up menu scroll down to 'Zoning'Zoning Administration Manual -- http://www.phila.gov/CityPlanning/projectreviews/Pages/Zoning.aspxDATA DEVELOPMENT:Features produced in ArcGIS Desktop using PA South Stateplane coordinates, NAD83, US Foot. Boundaries were constructed by PCPC using self-reported geographic descriptions by the RCO. Feature Update Date: 01-2013

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City of Philadelphia
2024

Columbia County - Geopolitical Areas

Geopolitical Areas

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Columbia County
2024

Columbia County - Road Centerlines

Roads of Columbia County, Pennsylvania

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Columbia County
2024

Columbia County - Site Address Points

This dataset contains Address Points in Columbia County, Pennsylvania

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Columbia County
2024

Columbia County - Tax Parcels

Tax Parcels of Columbia County, Pennsylvania

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Columbia County
2018

Crawford County - BLS (Basic Life Support - EMT) ambulance service coverage

BLS (Basic Life Support - EMT) ambulance coverage within Crawford County, PA

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Crawford County
2018

Crawford County - Address Points

Crawford County, Pennsylvania address points. Location and information of address points in Crawford County,Pennsylvania. This feature service has restricted fields available for this open data version. Certain fields have been redacted. The full dataset (as seen via the GIS mapping applications) is available via cost by contacting Crawford County. The full dataset available at cost provides all records that are not redacted by law. This is a feature service and data can change at anytime without notice.

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Crawford County
2018

Crawford County - Airports

Location of aiports and information about them within Crawford County PA

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Crawford County
2018

Crawford County - ALS (Advanced Life Support - paramedic) service coverage

Advanced Life Support (ALS) / paramedic service coverage within Crawford County, PA

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Crawford County
2018

Crawford County - Assessment ID Points

Crawford County, Pennsylvania ID Points. ID points compliment the tax parcel layer and provide the location of subdivisions (general area) and individual lots. This is a feature service and data can change at anytime without notice.

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Crawford County
2018

Crawford County - Campgrounds

Campgrounds location and individual site information within Crawford County, PA

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Crawford County
2018

Crawford County - Cemeteries

Locations of cemeteries, and access road information

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Crawford County
2018

Crawford County - Fire Department Coverage

Fire department area coverage in Crawford County, PA

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Crawford County
2018

Crawford County - Lakes

Lake boundaries were digitized from various years of ortho-imagery

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Crawford County
2020

Crawford County - Landmarks

Location of landmarks and places of interest within Crawford County, PA

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Crawford County
2018

Crawford County - Municipal Election Districts

Crawford County PA municipal election precincts areas

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Crawford County
2024

Crawford County - Parcels

Tax parcels for Crawford County PA. This information is constantly updated and maintained by the Crawford county assessment office (814-333-7302) or gisassessment@co.crawford.pa.us

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Crawford County
2018

Crawford County - Pennsylvania House Districts

Voting districts for the PA House of Representatives within Crawford County PA

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Crawford County
2018

Crawford County - Pennsylvania Senate Districts

PA Senate voting districts within Crawford County PA

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Crawford County
2018

Crawford County - Police Department Coverage

Municipal and State Police reponse areas

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Crawford County
2020

Crawford County - Polling Place Locations

Polling place locations and information within Crawford County PA

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Crawford County
2018

Crawford County - Public Safety Department Locations

Locations of Fire, EMS,and Police stations and other miscelanous Public Safety agencies in Crawford County, PA

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Crawford County
2018

Crawford County - QRS (Quick Response Service) Department Coverage

QRS (Quick Response Service) coverage areas within Crawford County, PA. QRS service is provided by fire departments to provide basic care until a BLS or ALS ambulance service can arrive. These are commonly found in areas in which a department doesn't run BLS/ALS services.

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Crawford County
2018

Crawford County - Railroads

Location and information of railroad tracks in Crawford County PA. This is a feature service and data can change at anytime without notice.

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Crawford County
2018

Crawford County - Recreational Trails

Location and information of recreational public trails used for hiking, biking, walking, running within Crawford County, PA

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Crawford County
2018

Crawford County - Rescue Department Coverage

Rescue department coverage areas within Crawford County, PA

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Crawford County
2018

Crawford County - Rivers/Streams

Rivers/streams digitized from various years of ortho-imagery

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Crawford County
2018

Crawford County - School Districts

School district coverage areas in Crawford County, PA

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Crawford County
2018

Crawford County - Softlines

Crawford County, Pennsylvania softlines. Softlines compliment the tax parcel layer and show information such as (not limited to) land hooks, streams, railroads, lot lines, free hooks. This is a feature service and data can change at anytime without notice.

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Crawford County
2024

Crawford County - Street Centerlines

Crawford County, Pennsylvania street centerline. Street centerline location and information within Crawford County, Pennsylvania. This is a feature service and data can change at anytime without notice.

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Crawford County
2018

Crawford County - US Congressional Districts

US Congressional voting districts within Crawford County, PA

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Crawford County
2018

Crawford County - US Senate Voting Districts

US Senate Voting Districts within Crawford County, PA

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Crawford County
2023

Cumberland County - Address Points

Address Points for Cumberland County, PA. These represent addressable structures.

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Cumberland County
2023

Cumberland County - Land Trails

Hiking and multi-use land trails in Cumberland County, Pennsylvania.

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Cumberland County
2021

Cumberland County - Parcels

Real estate boundaries and parcel identification number for Cumberland County, Pennsylvania. These boundaries do not represent survey accuracy

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Cumberland County
2023

Cumberland County - Public Parks Natural Areas

Public parks located in Cumberland County, Pennsylvania.

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Cumberland County
2023

Cumberland County - Road Centerlines

Real estate boundaries and parcel identification number for Cumberland County, Pennsylvania. These boundaries do not represent survey accuracy

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Cumberland County
2022

Dauphin County - Parcels

The parcels are intended to provide a graphical representation of deeded properties in Dauphin County and be used for basemapping, thematic mapping and analysis.

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Dauphin County
2022

Dauphin County - Streets

Road centerlines for Dauphin County. Used for the emergency dispatch system, mapping, and reference.

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Dauphin County
2022

Delaware County Primary Trail Network

Trails of Delaware County, Pennsylvania

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Delaware County
2021

Delaware County Protected Land

Protected Lands of Delaware County, Pennsylvania

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Delaware County
2023

Delaware County Road Centerlines

This dataset contains street centerlines for vehicular and foot traffic in Delaware County, Pennsylvania

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Delaware County
2023

Delaware County School District Boundaries

This polygon layer represents School District boundaries of Delaware County, Pennsylvania

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Delaware County
2023

Delaware County Sidewalk Inventory

This layer includes all of the current sidewalks of Delaware County, Pennsylvania

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Delaware County
2023

Delaware County Zoning

Municipal Zoning of Delaware County, Pennsylvania

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Delaware County
2016

DVRPC 2015 Digital Orthoimagery for Southeast Pennsylvania

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the DVRPC - PA project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Delaware Valley Regional Planning Commission
2016

DVRPC 2015 Digital Orthoimagery for Southeast Pennsylvania - County Mosaics

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the DVRPC - PA project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Delaware Valley Regional Planning Commission
2016

DVRPC 2015 Digital Orthoimagery for Southeast Pennsylvania - Tile Index

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the DVRPC - PA project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Delaware Valley Regional Planning Commission
2016

DVRPC 2015 LiDAR - DEM

Delaware Valley 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of UTM Zone 18, NAD83 (2011), meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 25 individual 1500 meter X 1500 meter tiles for the pilot (3752 individual 1500 meter X 1500 meter tiles for the entire project area), Bare Earth DEMs tiled to the same 1500 meter X 1500 meter tile schema, and Breaklines in Esri shapefile format. Ground Conditions: LiDAR was collected in spring of 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established 76 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the Delaware Valley project area. The accuracy of the data was checked with 91 NVA points and 70 VVA points (161 total QC checkpoints).

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Delaware Valley Regional Planning Commission
2016

DVRPC 2015 LiDAR - Intensity Images

Delaware Valley 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of UTM Zone 18, NAD83 (2011), meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 25 individual 1500 meter X 1500 meter tiles for the pilot (3752 individual 1500 meter X 1500 meter tiles for the entire project area), Bare Earth DEMs tiled to the same 1500 meter X 1500 meter tile schema, and Breaklines in Esri shapefile format. Ground Conditions: LiDAR was collected in spring of 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established 76 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the Delaware Valley project area. The accuracy of the data was checked with 91 NVA points and 70 VVA points (161 total QC checkpoints).

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Delaware Valley Regional Planning Commission
2016

DVRPC 2015 LiDAR - LAS

Delaware Valley 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of UTM Zone 18, NAD83 (2011), meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 25 individual 1500 meter X 1500 meter tiles for the pilot (3752 individual 1500 meter X 1500 meter tiles for the entire project area), Bare Earth DEMs tiled to the same 1500 meter X 1500 meter tile schema, and Breaklines in Esri shapefile format. Ground Conditions: LiDAR was collected in spring of 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established 76 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the Delaware Valley project area. The accuracy of the data was checked with 91 NVA points and 70 VVA points (161 total QC checkpoints).

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Delaware Valley Regional Planning Commission
2020

DVRPC 2020 Digital Orthoimagery - County Mosaics

This orthoimagery consists of 1-foot pixel resolution, 3-band, natural color county mosaics in JPEG 2000 format covering the Delaware Valley Regional Planning Commission’s (DVRPC) 9-county region (Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania; and Burlington, Camden, Gloucester, and Mercer counties in New Jersey). This orthoimagery was acquired in the late winter/early spring of 2020. An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.

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Delaware Valley Regional Planning Commission
2024

Erie County - Parcels

Boundary outlines of individual properties in Erie County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.

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Erie County
2024

Franklin County - Parcels

The geographic extent of individual parcels within Franklin County with NO associated CAMA (Computer Assisted Mass Appraisal - tax base) or parcel information. Polygons derived from original documents (deeds & surveys) by the Sidwell Co in 2013 and maintained since by County GIS staff.

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Franklin County
2021

Fulton County - Centerlines

GIS dataset for GeoCoding and Routing. Multiple Centerline datasets can be used for GeoCoding as sub-locators can be created and configured within a Composite Locator.

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Fulton County
2021

Fulton County - Parcels

Boundary outlines of individual properties in Fulton County.

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Fulton County
2021

Fulton County - Structures

Structures resents all officially addressed and non-addressed structures in Fulton County, PA. Addressed structures may include but not limited to buildings of residence, work, or recreation

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Fulton County
2022

Huntingdon County - Access Lines

Access Lines represents access/drive ways to 911 addressed structures in Huntingdon County, PA. These features typically represent un-named driveways, right of ways, or paths that may be used by 911 services in the case of an emergency. Changes to this data are updated on a weekly basis, or at the county’s discretion. Beginning with December 2022 this data follows the NG911 schema.

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Huntingdon County
2022

Huntingdon County - Address Points

"AddressPoints" was created to support Huntingdon County, PA in its mission to serve government, public, and private entities. This layer is maintained by Huntingdon County Mapping Dept. for the county PSAP (Public Saftey Answering Point, 911) to assist in routing emergency service calls. "AccessLines" is also used by Huntingdon County offices to assist in day to day office/field work. Beginning with December 2022 this data follows the NG911 schema.

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Huntingdon County
2022

Huntingdon County - Roads

Roads represents all offical road center lines in Huntingdon County, PA. These features represent all Huntingdon County roads: federal & state, municipal & borough, public & private.The original data was derived from PennDOT road centerlines and expanded by the Huntingdon County Planning and Mapping departments. Currently the data is maintained and updated by the Mapping Department on a weekly basis, or at the county’s discretion. Beginning with December 2022 this data follows the NG911 schema

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Huntingdon County
2023

Indiana County - Centerlines

Centerlines

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Indiana County
2023

Indiana County - Major Roads

Major Roads

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Indiana County
2023

Indiana County - Lakes

Lakes

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Indiana County
2023

Indiana County - Municipal Boundaries

Municipal Boundaries

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Indiana County
2023

Indiana County - Parcels

Parcels

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Indiana County
2023

Indiana County - Railroads

Railroads

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Indiana County
2008

Juniata County - Municipalities

Boundaries of municipalities within Juniata County, Pennsylvania

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Juniata County
2008

Juniata County - Parcels

polygon coverage representing Juniata County properties

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Juniata County
2008

Lancaster County - Boundary

The data describes the boundary of the Lancaster County.

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Lancaster County
2008

Lancaster County - Bridges

This layer consists of polygons representing bridges in Lancaster County. It contains both covered and non-covered bridges.

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Lancaster County
2018

Lancaster County - Buildings (polygon)

This layer polygon coverage that depict the outlines of buildings larger than 10 feet by 10 feet in size as captured from aerial photography. Includes primary structures such as residential, agricultural, business, and industrial and large ancillary structures such as barns, detached garages, out buildings, storage sheds, silos, etc.

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Lancaster County
2008

Lancaster County - Cemetery

This polygon coverage includes both recent and historical cemeteries. County supplied source data to identify historical locations. Dataset consists of all cemeteries which were identifiable in the 1993 photography, plus historical cemeteries which were mapped using other source data and or verification methods.

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Lancaster County
2008

Lancaster County - Contours

This dataset consists of lines representing elevation contours at a 5 foot interval, with index contours at a 25 foot interval.

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Lancaster County
2008

Lancaster County - Covered Bridges

Polygons within this coverage represent the outlines of each covered bridge in Lancaster County, PA, as determined via aerial photographs.

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Lancaster County
2019

Lancaster County - Drives

Polygons representing photogrammetrically interpreted edges of paved and unpaved drives greater than 200 ft. in length. Features were updated using Pictometry 6 inch resolution aerial photos flown in the spring of 2016 that encompass the entire County. Red-Green-Blue and Color Infrared were both used to capture, modify, and validate new and changed features.

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Lancaster County
2008

Lancaster County - Geodetic Monuments

Surveyed positions of monuments for geodetic control.

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Lancaster County
2014

Lancaster County - Hydro arcs

Hydrography Centerlines. This dataset contains lines representing streams and the centerlines of rivers wider than 10 feet. The features are pointed in the direction of streamflow.

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Lancaster County
2014

Lancaster County - Hydro poly

Hydrography Polygons. This dataset contains areas representing water bodies and rivers wider than 10 feet.

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Lancaster County
2022

Lancaster County - Land Use Types

Polygon coverage representing the predominant land use or land cover, as interpreted from aerial photography. Note: GDI delineated the land use boundaries using aerial photographs dated March 1993 and using a minimum mapping unit of one-half acre. Based on acquired aerial photography, subsequent updates have been made using aerial photos from: 1998, 2002, 2005, 2008, 2012, 2016, 2018. ADR compiled land use polygons for all surface water features. NWI wetlands areas were identified using boundaries from a Quad-based wetland coverage; the wetland boundaries were then delineated using the aerial photography. Land uses are categorized using the Modified Anderson Level II classification system. Quality control check plots were produced at 1"=250' scale the whole county. Planning Commission staff reviewed all of the check plots and forwarded comments and corrections to GDI. GDI made some of the corrections but did not make others, claiming that they were below the half-acre minimum mapping unit limit. Planning Commission staff has also made corrections where they have been found.

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Lancaster County
2024

Lancaster County - Municipal Boundaries

Polygon layer representing the Lancaster County municipal boundaries, as mapped by the assessment office.

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Lancaster County
2024

Lancaster County - Parcels

Polygon layer representing the real Lancaster County property, as mapped by the assessment office. Data created for Lancaster County Assessment Office. Intended for illustration and demonstration purposes only.

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Lancaster County
2019

Lancaster County - Parking Lots

This polygon coverage represents photogrammetrically interpreted surfaces and edges of parking lots. All lots in excess of 1000 square feet will be compiled. Features were updated using Pictometry 6 inch resolution aerial photos flown in the spring of 2016 that encompass the entire County. Red-Green-Blue and Color Infrared were both used to capture, modify, and validate new and changed features.

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Lancaster County
2024

Lancaster County - Parks

Polygon layer representing public parks, public and semi-public recreation land and other conservation land and easements. Based on the tax parcel layer and aerial photographs.

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Lancaster County
2008

Lancaster County - Railroad Centerlines

This line coverage contains arc features representing photogrammetrically interpreted Rail Road centerlines. County Planning Commission supplied reference map to identify active features from abandoned features.

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Lancaster County
2024

Lancaster County - Road Centerlines and Types

This line coverage contains arc features representing all photogrammetrically interpreted street centerlines in the county, including roads built during or after 1993. RPT will resolve and generate road names.

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Lancaster County
2019

Lancaster County - Road Edges (line)

Arcs representing photogrammetrically interpreted surfaces and edges of public and private roads. Features were updated using NGA and USGS 30 centimeter aerial photos flown from March 26th through April 3rd, 2012 that encompass the entire County. Red-Green-Blue and Color Infrared were both used to capture, modify, and validate new and changed features.

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Lancaster County
2019

Lancaster County - Road Edges (polygon)

Polygons representing photogrammetrically interpreted surfaces and edges of public and private roads. Features were updated using Pictometry 6 inch resolution aerial photos flown in the spring of 2016 that encompass the entire County. Red-Green-Blue and Color Infrared were both used to capture, modify, and validate new and changed features.

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Lancaster County
2008

Lancaster County - School District Boundaries

Boundaries of Lancaster County School Districts

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Lancaster County
2024

Lancaster County - Trails

Comprehensive layer of the trail network in Lancaster County. Trails data has been updated to support uploading to the DCNR's http://www.explorepatrails.com/ site Last update was based on 2018 orthophotos.

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Lancaster County
2024

Lancaster County - Urban and Village Growth (polygons)

This a county-wide coverage that contains polygons showing the urban and village growth boundaries in the county. Growth boundaries are split along municipal boundaries.

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Lancaster County
2021

Lehigh County - Abandoned Railroads

Abandoned Railroads of Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Building Footprints

Footprints for buildings in Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Municipal Boundary

Municipal Boundaries of Lehigh County, Pennslyvania

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Lehigh County
2021

Lehigh County - Parcels

Boundary outlines of individual properties in Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Railroads

Railroads of Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Road Centerline

Road Centerlines of Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Wards

Political Wards of Lehigh County, Pennsylvania

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Lehigh County
2021

Lehigh County - Wards

Political Wards of Lehigh County, Pennsylvania

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Lehigh County
2016

LVPC 2015 Digital Orthoimagery for Lehigh/Northampton County, PA

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the LVPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Lehigh Valley Planning Commission
2016

LVPC 2015 Digital Orthoimagery for Lehigh/Northampton County, PA - County Mosaics

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the LVPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Lehigh Valley Planning Commission
2016

LVPC 2015 Digital Orthoimagery for Lehigh/Northampton County, PA - Tile Index

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the LVPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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Lehigh Valley Planning Commission
2022

Luzerne County - Municipal boundaries

Luzerne County Municipal boundaries which defines the current municpal configurations based on best available information. Data may also contain various administrative, planning and property data. Best Fit to 1"=200' orthophotography, County Tax Parcels, GPS field work, Provided Surveys, Road Docket Plots and/or other sources.

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Luzerne County
2022

Luzerne County - School District boundaries

School District Boundaries of Luzerne County, Pennsylvania

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Luzerne County
2023

Lycoming County - Parcels

Property or Parcel Boundaries of all known properties in Lycoming County, PA

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Lycoming County
2008

Lycoming County 100yr

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Lycoming County
2008

Lycoming County 100yr all

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Lycoming County
2008

Lycoming County 500yr

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Lycoming County
2008

Lycoming County Floodplain

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Lycoming County
2008

Lycoming County Floodway

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Lycoming County
2020

Lycoming County Private Roads

Lycoming County UnNamed Roads. These are primarily private roads or driveways, but may contain Commonwealth maintenance roads which do not require a name.

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Lycoming County
2020

Lycoming County Road Centerlines

Lycoming County Named Roads. This contains both private and public roads which have an address range and an approved road name as per the Lycoming County Addressing Ordinance 96-3

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Lycoming County
2020

Lycoming County Site Structure Address Points

Addressed Structures or Sites in Lycoming County as per the Lycoming County Addessing Ordinance 96-3 Note: Zip Code values are estimated and not verified.

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Lycoming County
2024

Mercer County - Airports

A Polygon dataset that represents the lands of local airport

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Mercer County
2024

Mercer County - Centerlines

Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.

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Mercer County
2024

Mercer County - College Campuses

Polygons that represent the total lands of a college or university campus

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Mercer County
2024

Mercer County - Libraries

A point data set of the local libraries

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Mercer County
2024

Mercer County - Municipal Buildings

A point data set that represents the various municipal buildings

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Mercer County
2024

Mercer County - Parcels

The Parcel Dataset was developed primarily for the purpose of identifying land parcels for tax billing and tax assessment purposes.

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Mercer County
2024

Mercer County - Trails

A line dataset of the trails in the greater Mercer County Area

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Mercer County
2023

Mercer County Building Footprints 2015

Mercer County, Pennsylvania building footprints digitized from 2015 aerial imagery.

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Mercer County
2024

Mercer County Road Network - points

Mercer County Road Network points

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Mercer County
2024

Mercer County Tax districts

set of municipalities derived by tax district numbers, the first 2 digits are parcel pins that denote municipality.

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Mercer County
2024

Mifflin County - Parcels

Boundary outlines of individual properties in Mifflin County. The Parcel Dataset was developed primarily for the purposes of identifying land parcels for tax billing and tax assessment purposes.

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Mifflin County
1995

Mifflin County aerial photography

Mifflin County aerial photography

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Mifflin County
2022

Monroe County - Parcels

Boundary outlines of individual properties in Monroe County

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Monroe County
2022

Monroe County - Street Centerlines

This dataset contains street centerlines for vehicular and foot traffic in Monroe County, Pennsylvania

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Monroe County
2024

Montgomery County - Address Points

This layer shows site structure address points in Montgomery County, Pennsylvania. Site Structure Address Points (SSAP) represent a physical address of a structure. This address may differ from a mailing address and even a property parcel address. The layer is was developed in accordance with NENA NG911 guidelines. The layer also contains trail and highway mile markers which are needed for 911 location services.

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Montgomery County
2024

Montgomery County - Buildings

This layer shows the building outlines for Montgomery County, Pennsylvania. The original layer was purchased from NearMap in the spring of 2020. Updates and additions to the original layer were made using parcel and current spring 2022 aerial imagery.

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Montgomery County
2022

Montgomery County - County Boundary

This is Montgomery County's geographic boundary. The original source data has been edited to best match orthophotography, natural features and other known boundary markers. This data is for reference purposes only.

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Montgomery County
2022

Montgomery County - Electric Service Areas

Electric Service Areas

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Montgomery County
2022

Montgomery County - EMS Ambulance Districts

EMS Ambulance Districts

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Montgomery County
2022

Montgomery County - EMS Ambulance Stations

EMS Ambulance Stations

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Montgomery County
2022

Montgomery County - Fire Districts

Fire Districts

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Montgomery County
2022

Montgomery County - Fire Stations

Fire Stations

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Montgomery County
2022

Montgomery County - Historical Attractions

Historical Attraction

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Montgomery County
2022

Montgomery County - Hospitals

Hospitals

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Montgomery County
2022

Montgomery County - Libraries

Libraries

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Montgomery County
2022

Montgomery County - Municipal Boundaries

Municipal Boundaries

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Montgomery County
2024

Montgomery County - Parcels

Parcel boundaries and property information for Montgomery County, Pennsylvania. This data is a download from the county's assessment database and is updated monthly.

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Montgomery County
2022

Montgomery County - Parks

Parks

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Montgomery County
2022

Montgomery County - Police Districts

Police Districts

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Montgomery County
2022

Montgomery County - Police Stations

Police Stations

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Montgomery County
2022

Montgomery County - School Districts

School Districts

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Montgomery County
2022

Montgomery County - Schools

Schools

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Montgomery County
2022

Montgomery County - Sewer Service Areas

Sewer Service Areas

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Montgomery County
2023

Montgomery County - Street Centerline

Street Centerline

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Montgomery County
2022

Montgomery County - Trails

Trails

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Montgomery County
2022

Montgomery County - Water Service Areas

Water Service Areas

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Montgomery County
2024

Montour County - Geopolitical Areas

Geopolitical Areas

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Montour County
2024

Montour County - Road Centerlines

Roads of Monroe County, Pennsylvania

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Montour County
2024

Montour County - Site Address Points

This dataset contains Address Points in Monroe County, Pennsylvania

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Montour County
2024

Montour County - Tax Parcels

Tax Parcels of Monroe County, Pennsylvania

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Montour County
1999

Murrysville Parcel Coverage

This layer includes the parcels within the municipality along with condominiums and mobile homes. Also included, are the county's tax data along with municipal data such as street address, lot number and subdivision, build out status, land use, zoning, septic or sewer, and housing starts on two year intervals since 1990.

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Municipality of Murrysville
1999

Murrysville Zoning Districts

The Zoning coverage is a polygon layer reflecting Murrysville's zoning districts and their boundaries. The coverage is designed to overlay the parcel coverage, aiding in the initial determination of a parcel or plan's zoning or zonings. Additional attribute data such as setbacks and minimum lot size are included.

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Municipality of Murrysville
2003

Streets in Municipality of Murrysville

The streets coverage represents all local roads within the Municipality of Murrysville. Where applicable, roads are defined by their local names rather than state and township route numbers. Address ranges are also included.

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Municipality of Murrysville
2023

Bedrock Surface Topography Digital Elevation Raster of Pennsylvania

PaGS assembled 214,851 relevant well records from Pennsylvania, GroundWater Information System (PaGWIS) and other unpublished PaGS reports. Each well used in the analysis contains a measurement of the depth to bedrock (in feet) and/or a notation indicating if bedrock was encountered during well drilling, these attributes allow well records to be separated into two datasets – bedrock wells (wells that penetrate bedrock) and drift wells (wells that did not encounter bedrock).Topographic Position Index (TPI) is a quantitative landform analysis that uses land surface elevation data to determine landforms such as ridge, upper slope, middle/flat slope, lower slope, and valley. A composite TPI raster for each of Pennsylvania’s 23 physiographic sections was generated. Each well data point was attributed to a physiographic section and assigned a TPI value based on its location. The square root of depth-to-bedrock was calculated for each well. A linear regression relationship between the TPI and the square root of sediment thickness was established for five TPI classes (ridge, upper slope, middle/flat slope, lower slope, and valley) in each of the 23 physiographic sections. This statistical relationship was used to create a surrogate model for depth to bedrock to predict sediment thickness across the state. Synthetic data points were generated from the surrogate model to fill in areas of low well data density. A combination of bedrock well data points and synthetic data points were used to generate the first-iteration sediment thickness model through a natural neighbor interpolation technique. Iterative refinements to the sediment thickness model were made by comparing model predictions to drift well data points. If the total depth of the drift well was less than the predicted thickness of sediment at that location, then the drift well data point was ignored. If the total depth of a drift well was greater than the predicted thickness of sediment at that location, then the drift well data point was added to dataset and a new sediment thickness model was generated. In total, 413, 474 data points were used in the modeling process – 207,130 empirically derived well points and 206, 344 synthetic points derived from the surrogate model.The final sediment thickness model was resampled to a 100-meter grid digital raster conforming to a similar resolution surface topography digital elevation raster. The surface topography grid was smoothed to remove detail before subtracting the sediment thickness to create a bedrock elevation map. The degree of smoothing was applied proportionally to the magnitude of sediment thickness. Portions of the surface topography grid that correspond to sediment thickness greater than 365 feet received the maximum amount of smoothing; likewise, portions of the surface topography grid that correspond to zero sediment thickness received no smoothing. The remaining portions of the surface topography grid that correspond to sediment thickness between 0 and 365 feet received gradational smoothing proportional to the sediment thickness.This 100-meter grid bedrock elevation raster was calculated by subtracting the sediment thickness model from the conditionally-smoothed surface topography digital elevation raster.

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Pennsylvania Department of Conservation and Natural Resources
2023

Modeled flowpaths for Pennsylvania Hydrography Dataset (PAHD) – Allegheny County

An intermediate product of the Pennsylvania Hydrography Dataset (PAHD) generation. This product is the result of a conflation study with existing hydrography originated by the Allegheny County Division of Computer Services Geographic Information Systems Group. This product is not intended to be a finalized component of the Pennsylvania Hydrography Dataset (PAHD): these are provisional data that have undergone no manual refinement. The Modeled_PAHD_Flowpath geometries represent an intermediate product that was created from a workflow that was examining, among other things, the application of conflation steps, monotonicity, and Topographic Positioning Index (TPI) products toward an automated elevation-derived hydrography (EDH) workflow.

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Pennsylvania Department of Conservation and Natural Resources
2019

Pennsylvania North Central Lidar 2019 - Tile Indexes

Pennsylvania North Central Lidar 2019 - Tile Indexes. Includes: LiDAR 2019 PA North 10K QL2, PA North 5K QL1, PA North 5K QL1, North 5K QL2, PA South 10K QL2, PA South 5K QL2

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Pennsylvania North Central Lidar 2019 - Tile Indexes
2020

Pennsylvania Western Lidar 2020 - Tile Indexes

Pennsylvania Western Lidar 2020 - Tile Indexes. Includes: LiDAR 2020 QL1 5K SP North, QL2 10K SP North, QL2 10K SP South, QL2 5K SP North, QL2 5K SP South

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Pennsylvania North Central Lidar 2019 - Tile Indexes
2021

Perry County - Municipal Boundary

Municipal boundaries of Perry County, Pennsylvania

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Perry County
2021

Perry County - Parcels

Parcel boundaries of Perry County, Pennsylvania

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Perry County
2024

Snyder County - Current Land Use

Current Land Use

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Snyder County
2024

Snyder County - Facility Sites

Facility Sites

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Snyder County
2024

Snyder County - FEMA Flood Zone

FEMA Flood Zone

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Snyder County
2024

Snyder County - Municipal Boundary

Municipal Boundary

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Snyder County
2024

Snyder County - Open Space Conservancy

Open Space Conservancy

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Snyder County
2024

Snyder County - Parcels

Parcels

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Snyder County
2024

Snyder County - Polling Places

Polling Places

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Snyder County
2024

Snyder County - Railroads

Railroads

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Snyder County
2024

Snyder County - Road Centerline

Road Centerline

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Snyder County
2024

Snyder County - Site Address Point

Site Address Point

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Snyder County
2024

Snyder County - Voting Precincts

Voting Precincts

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Snyder County
2024

Snyder County - Waterbodies

Waterbodies

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Snyder County
2024

Snyder County - Waterlines

Waterlines

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Snyder County
2024

Snyder County - Zoning District

Zoning District

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Snyder County
2022

Somerset County - House Numbers

House Numbers of Somerset County, Pennsylvania

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Somerset County
2022

Somerset County - Centerlines

Street Centerlines of Somerset County, Pennsylvania

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Somerset County
2018

Pennsylvania Building Footprints (Available)

Building Footprints from Individual Counties for the State of Pennsylvania. This dataset is incomplete and Building Footprints will be added as available. Building Footprints Include: Allegheny, Lancaster, Philadelphia

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The Pennsylvania State University
2024

Pennsylvania Parcels (Available)

Boundary outlines of individual properties for the State of Pennsylvania. This dataset is incomplete and county parcels will be added as available. Attributes contain PIN ID, Source, and Date of Parcels

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The Pennsylvania State University
2020

Pennsylvania Street Centerlines (Available)

Street Centerlines from Individual Counties for the State of Pennsylvania. This dataset is incomplete and Street Centerlines will be added as available.

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The Pennsylvania State University
2021

National Land Cover Database (NLCD) - 2001-2019 Change Index PA

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2001

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2004

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2006

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2008

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2011

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2013

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2016

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Impervious PA 2019

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2001

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2004

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2006

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2008

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2011

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2013

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2016

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Land Cover PA 2019

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2011

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2012

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2013

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2014

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2015

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2016

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2017

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2018

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2019

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2020

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

National Land Cover Database (NLCD) - Tree Canopy Cover PA 2021

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The NLCD product suite includes data for years 2011, 2013, 2016, 2019 and 2021. The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value established in a prior year. The initial TCC baseline value is the mean of 2008-2010 TCC data. For each year following 2011, on a pixel-wise basis TCC values are updated to a new baseline value if an increase or decrease of 10 percent TCC occurs relative to the 2008-2010 TCC baseline value. If no increase or decrease greater than 10 percent TCC occurs relative to the 2008-2010 baseline, then the 2008-2010 TCC baseline value is caried through to the next year in the timeseries. Pixel values range from 0 to 100 percent. The non-processing area is represented by value 254, and the background is represented by the value 255. The Science and NLCD tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms. For information on the Science data and processing steps see the Science metadata. Information on the NLCD data and processing steps are included here.

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U S Geological Survey
2021

North American Land Cover 30-meter dataset 2020

The 2020 North American Land Cover 30-meter dataset was produced as part of the North American Land Change Monitoring System (NALCMS), a trilateral effort between Natural Resources Canada, the United States Geological Survey, and three Mexican organizations including the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía), National Commission for the Knowledge and Use of the Biodiversity (Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad), and the National Forestry Commission of Mexico (Comisión Nacional Forestal). The collaboration is facilitated by the Commission for Environmental Cooperation, an international organization created by the Canada, Mexico, and United States governments under the North American Agreement on Environmental Cooperation to promote environmental collaboration between the three countries.The general objective of NALCMS is to devise, through collective effort, a harmonized multi-scale land cover monitoring approach which ensures high accuracy and consistency in monitoring land cover changes at the North American scale and which meets each country’s specific requirements.This 30-meter dataset of North American Land Cover reflects land cover information for 2020 from Mexico and Canada, 2019 over the conterminous United States and 2021 over Alaska. Each country developed its own classification method to identify Land Cover classes and then provided an input layer to produce a continental Land Cover map across North America. Canada, Mexico, and the United States developed their own 30-meter land cover products.The main inputs for image classification were 30-meter Landsat 8 Collection 2 Level 1 data in the three countries (Canada, the United States and Mexico). Image selection processes and reduction to specific spectral bands varied among the countries due to study-site-specific requirements. While Canada selected most images from the year 2020 with a few from 2019 and 2021, the Conterminous United States employed mainly images from 2019, while Alaska land cover maps are mainly based on the use of images from 2021. The land cover map for Mexico was based on land cover change detection between 2015 and 2020 Mexico Landsat 8 mosaics.In order to generate a seamless and consistent land cover map of North America, national maps were generated for Canada by the CCRS; for Mexico by CONABIO, INEGI, and CONAFOR; and for the United States by the USGS. Each country chose their own approaches, ancillary data, and land cover mapping methodologies to create national datasets. This North America dataset was produced by combining the national land cover datasets. The integration of the three national products merged four Land Cover map sections, Alaska, Canada, the conterminous United States and Mexico.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL1; Breaklines

Breakline data is used to hydroflatten the DEMs created for the Pennsylvania North Central Lidar QL1 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 95 individual 5,000 ft x 5,000 ft tiles; and as 31 10,000 ft x 10,000 ft tiled intensity imagery, and as tiled bare earth DEMs; Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL1; Classified Point Cloud

These lidar data are processed Classified LAS 1.4 files, formatted to 95 individual 5,000 ft x 5,000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 95 individual 5,000 ft x 5,000 ft tiles; and as 31 10,000 ft x 10,000 ft tiled intensity imagery, and as tiled bare earth DEMs; Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL1; Contours

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 31 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 10,000 ft x 10,000 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL1; DEM

These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the Pennsylvania North Central Lidar QL1 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1.25 foot hydro-flattened Raster DEM. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 95 individual 5,000 ft x 5,000 ft tiles; and as 31 10,000 ft x 10,000 ft tiled intensity imagery, and as tiled bare earth DEMs; Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL1; Intensity Imagery

Pennsylvania North Central Lidar QL1 Intensity Imagery. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 95 individual 5,000 ft x 5,000 ft tiles; and as 31 10,000 ft x 10,000 ft tiled intensity imagery, and as tiled bare earth DEMs; Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Breaklines - North

Breakline data is used to hydroflatten the DEMs created for the Pennsylvania North Central Lidar QL2 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 42 counties in Pennsylvania, covering approximately 14244 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 15,404 individual 5,000 ft x 5,000 ft tiles; and 3971 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Breaklines - South

Breakline data is used to hydroflatten the DEMs created for the Pennsylvania North Central Lidar QL2 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 35 counties in Pennsylvania, covering approximately 5922 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania South FIPS 3702 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 6,269 individual 5,000 ft x 5,000 ft tiles; 1651 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs.Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Classified Point Cloud - North

These lidar data are processed Classified LAS 1.4 files, formatted to 15,404 individual 5,000 ft x 5,000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 42 counties in Pennsylvania, covering approximately 14244 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 15,404 individual 5,000 ft x 5,000 ft tiles; and 3971 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Classified Point Cloud - South

These lidar data are processed Classified LAS 1.4 files, formatted to 6,269 individual 5,000 ft x 5,000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 35 counties in Pennsylvania, covering approximately 5922 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania South FIPS 3702 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 6,269 individual 5,000 ft x 5,000 ft tiles; 1651 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs.Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Contours - North

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 42 counties in Pennsylvania, covering approximately 13813 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 3971 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 10,000 ft x 10,000 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Contours - South

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 34 counties in Pennsylvania, covering approximately 5621 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania South FIPS 3702 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1651 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 10,000 ft x 10,000 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; DEM - County Mosaics

County Mosaics - These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the Pennsylvania North Central Lidar QL1 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1.25 foot hydro-flattened Raster DEM. Geographic Extent: 4 counties in Pennsylvania, covering approximately 85 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 95 individual 5,000 ft x 5,000 ft tiles; and as 31 10,000 ft x 10,000 ft tiled intensity imagery, and as tiled bare earth DEMs; Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; DEM - North

These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the Pennsylvania North Central Lidar QL2 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM. Geographic Extent: 42 counties in Pennsylvania, covering approximately 14244 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 15,404 individual 5,000 ft x 5,000 ft tiles; and 3971 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; DEM - South

Pennsylvania North Central Lidar QL2 Intensity Imagery. Geographic Extent: 35 counties in Pennsylvania, covering approximately 5922 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania South FIPS 3702 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 6,269 individual 5,000 ft x 5,000 ft tiles; 1651 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs.Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Intensity Imagery - North

Pennsylvania North Central Lidar QL2 Intensity Imagery. Geographic Extent: 42 counties in Pennsylvania, covering approximately 14244 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania North FIPS 3701 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 15,404 individual 5,000 ft x 5,000 ft tiles; and 3971 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

Pennsylvania North Central Lidar 2019 QL2; Intensity Imagery - South

Pennsylvania North Central Lidar QL2 Intensity Imagery. Geographic Extent: 35 counties in Pennsylvania, covering approximately 5922 total square miles. Dataset Description: The Pennsylvania North Central Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 StatePlane Pennsylvania South FIPS 3702 Feet, Foot US and vertical datum of NAVD88 GEOID12B, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 6,269 individual 5,000 ft x 5,000 ft tiles; 1651 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs.Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 326 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 546 independent accuracy checkpoints, 322 in Bare Earth and Urban landcovers (322 NVA points), 224 in Tall Weeds categories (224 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL1; Breaklines - North

Breakline data is used to hydroflatten the DEMs created for the PA_WesternPA_2019_D20 Lidar QL1 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 2 counties in Pennsylvania, covering approximately 62 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 114 individual 5,000 ft x 5,000 ft tiles and as tiled intensity imagery, and tiled bare earth DEMs formatted to 40 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL1; Classified Point Cloud - North

Pennsylvania Western Lidar 2020 QL1; Classified Point Cloud

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL1; Contours - North

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 2 counties in Pennsylvania, covering approximately 62 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 114 individual 5,000 ft x 5,000 ft tiles and as tiled intensity imagery, and tiled bare earth DEMs formatted to 40 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL1; DEM - North

These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the PA_WesternPA_2019_D20 Lidar QL1 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1.25 foot hydro-flattened Raster DEM. Geographic Extent: 2 counties in Pennsylvania, covering approximately 62 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 114 individual 5,000 ft x 5,000 ft tiles and as tiled intensity imagery, and tiled bare earth DEMs formatted to 40 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL1; Intensity Imagery - North

PA_WesternPA_2019_D20 Lidar QL1 Intensity Imagery. Geographic Extent: 2 counties in Pennsylvania, covering approximately 62 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 114 individual 5,000 ft x 5,000 ft tiles and as tiled intensity imagery, and tiled bare earth DEMs formatted to 40 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Breaklines - North

Breakline data is used to hydroflatten the DEMs created for the PA_WesternPA_2019_D20 Lidar QL2 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 22 counties in Pennsylvania, covering approximately 6282 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 7229 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs formatted to 1848 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Breaklines - South

Breakline data is used to hydroflatten the DEMs created for the PA_WesternPA_2019_D20 Lidar QL2 project. Breaklines are reviewed against LiDAR intensity imagery to verify completeness of capture. Geographic Extent: 31 counties in Pennsylvania, covering approximately 9299 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania South FIPS 3702 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 10576 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs 2684 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Classified Point Cloud - North

Pennsylvania Western Lidar 2020 QL2; Classified Point Cloud

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Classified Point Cloud - South

These lidar data are processed Classified LAS 1.4 files, formatted to 2684 individual 10,000 ft x 10,000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 31 counties in Pennsylvania, covering approximately 9299 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania South FIPS 3702 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 10576 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs 2684 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Contours - North

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 22 counties in Pennsylvania, covering approximately 6282 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 7229 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs formatted to 1848 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Contours - South

Contours with a 1 foot interval in Esri file geodatabase format. Geographic Extent: 31 counties in Pennsylvania, covering approximately 9299 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania South FIPS 3702 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 2684 individual 10,000 ft x 10,000 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 10,000 ft x 10,000 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; DEM - North

These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the PA_WesternPA_2019_D20 Lidar QL2 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM. Geographic Extent: 22 counties in Pennsylvania, covering approximately 6282 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania North FIPS 3701 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 7229 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs formatted to 1848 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; DEM - South

These are Digital Elevation Model (DEM) data for Pennsylvania as part of the required deliverables for the PA_WesternPA_2019_D20 Lidar QL2 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM. Geographic Extent: 31 counties in Pennsylvania, covering approximately 9299 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania South FIPS 3702 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 10576 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs 2684 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Intensity Imagery - North

Pennsylvania Western Lidar 2020 QL2; Intensity Imagery

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U S Geological Survey
2020

Pennsylvania Western Lidar 2020 QL2; Intensity Imagery - South

PA_WesternPA_2019_D20 Lidar QL2 Intensity Imagery. Geographic Extent: 31 counties in Pennsylvania, covering approximately 9299 total square miles. Dataset Description: The PA_WesternPA_2019_D20 Lidar QL2 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Pennsylvania South FIPS 3702 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 10576 individual 5,000 ft x 5,000 ft tiles, and as tiled intensity imagery and tiled bare earth DEMs 2684 individual 10,000 ft x 10,000 ft tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 274 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 485 independent accuracy checkpoints, 291 in Bare Earth and Urban landcovers (291 NVA points), 194 in Tall Weeds categories (194 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2017

South Central Pennsylvania 2017 QL2 LiDAR; Contours

Contours with a 2-foot interval in Esri file shapefile format. Geographic Extent: 13 counties in Pennsylvania, covering approximately 6,602 total square miles. Dataset Description: The South Central Pennsylvania 2017 QL2 LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD 1983 (2011), UTM Zone 18, meters and vertical datum of NAVD 1988 (GEOID 12B), meters. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 7,975 individual 1,500-meter x 1,500-meter tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1,500-meter x 1,500-meter schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2017, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 150 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 245 independent accuracy checkpoints, 142 in Bare Earth and Urban landcovers (142 NVA points), 103 in Tall Weeds categories (103 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

USGS LPC Luzerne County, PA 2019 - LAS

These lidar data are processed Classified LAS 1.4 files, formatted to 1792 individual 2500 ft x 2500 ft tiles in NAD83(2011) State Plane Pennsylvania North FIPS 3701 Ft US. The vertical datum of NAVD88 Geoid12B Ft US; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.Geographic Extent: This task order requires lidar data to be acquired over an AOI surrounding Wilkes-Barre, PA (+/- 401.5 square miles) Dataset Description: WVSA, PA – 2017 Impervious Surface project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) State Plane Pennsylvania North FIPS3701 Ft US. The vertical datum of NAVD88 Geoid12B Ft US. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1792 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.Ground Conditions: Lidar was collected between November 23, 2017 and December 8, 2017 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (35 NVA points and 23 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data

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U S Geological Survey
2019

USGS NED Luzerne County, PA 2019 - breaklines

Breakline data is used to hydroflatten the DEMs created for the WVSA, PA 2017 Lidar project project. Breaklines are reviewed against lidar intensity imagery to verify completeness of capture. The compilation procedure included use of lidar intensity, bare earth surface model, point cloud data, and open source imagery in an effort to manually compile hydrologic features in a 2-d environment. Following the compilation phase, a separate process was used to adjust the breakline data to best match the water level at the time of the lidar collection. Any ponds and/or lakes were adjusted to be at or just below the bank and to be at a constant elevation. Any streams were adjusted to be at or just below the bank and to be monotonic. Manual QAQC and peer-based QC review was performed on all delineated data to ensure horizontal placement quality and on all adjusted data to ensure vertical placement quality. Bridge breaklines were also compiled in efforts to generate an accurate DEM product. The final hydrologic and bridge breakline product was delivered in ESRI geodatabase format and was also used in the processing of the DEM deliverableGeographic Extent: This task order requires lidar data to be acquired over an AOI surrounding Wilkes-Barre, PA (+/- 401.5 square miles) Dataset Description: WVSA, PA – 2017 Impervious Surface project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) State Plane Pennsylvania North FIPS3701 Ft US. The vertical datum of NAVD88 Geoid12B Ft US. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1792 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.Ground Conditions: Lidar was collected between November 23, 2017 and December 8, 2017 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (35 NVA points and 23 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

USGS NED PA Luzerne County, PA 2019 - 1ft

These are Digital Elevation Model (DEM) data for WVSA PA 2017 Impervious Surface Lidar task as part of the required deliverables for WVSA PA 2017 Impervious Surface project. Class 2 (ground) lidar points in conjunction with the hydro breaklines and bridge breaklines were used to create a 1 foot hydro-flattened Raster DEM.Geographic Extent: This task order requires lidar data to be acquired over an AOI surrounding Wilkes-Barre, PA (+/- 401.5 square miles) Dataset Description: WVSA, PA – 2017 Impervious Surface project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) State Plane Pennsylvania North FIPS3701 Ft US. The vertical datum of NAVD88 Geoid12B Ft US. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1792 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.Ground Conditions: Lidar was collected between November 23, 2017 and December 8, 2017 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (35 NVA points and 23 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2019

USGS NED PA Luzerne County, PA 2019 - 1m

These are Digital Elevation Model (DEM) data for WVSA PA 2017 Impervious Surface Lidar task as part of the required deliverables for WVSA PA 2017 Impervious Surface project. Class 2 (ground) lidar points in conjunction with the hydro breaklines and bridge breaklines were used to create a 1 foot hydro-flattened Raster DEM.Geographic Extent: This task order requires lidar data to be acquired over an AOI surrounding Wilkes-Barre, PA (+/- 401.5 square miles) Dataset Description: WVSA, PA – 2017 Impervious Surface project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83(2011) State Plane Pennsylvania North FIPS3701 Ft US. The vertical datum of NAVD88 Geoid12B Ft US. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1792 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.Ground Conditions: Lidar was collected between November 23, 2017 and December 8, 2017 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected (35 NVA points and 23 VVA points) and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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U S Geological Survey
2024

Union County - Current Land Use

Current Land Use

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Union County
2024

Union County - Facility Sites

Facility Sites

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Union County
2024

Union County - FEMA Flood Zone

FEMA Flood Zone

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Union County
2024

Union County - Municipal Boundary

Municipal Boundary

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Union County
2024

Union County - Open Space Conservancy

Open Space Conservancy

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Union County
2024

Union County - Parcels

Tax Parcels

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Union County
2024

Union County - Polling Places

Polling Places

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Union County
2024

Union County - Railroads

Railroads

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Union County
2024

Union County - Road Centerline

Road Centerline

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Union County
2024

Union County - Site Address Point

Site Address Point

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Union County
2024

Union County - Voting Precincts

Voting Precincts

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Union County
2024

Union County - Waterbodies

Waterbodies

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Union County
2024

Union County - Waterlines

Waterlines

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Union County
2024

Union County - Zoning District

Zoning District

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Union County
2023

USGS Geopdf's for Pennsylvania

About GeoPDF data files PDF (Portable Document Format) digital files are now available for US Geological Survey topographic quadrangle maps. Each file is essentially a scan of a topographic map with the added feature of being georegistered. The files can be used as a PDF file, enabling users to view topo maps onscreen. The GeoPDF format is an extension to Adobe's PDF 1.3 and higher versions enabling GIS functionality within standard PDF files. This format is designed for the efficient distribution and communication of rich spatial data to anyone who needs to view, review, verify, update, or print it. Because GeoPDF files are highly compressed and encapsulated, they are smaller, faster, and easier to transmit than GIS data sets, without the overhead associated with typical GIS spatial data sets (or the management of database tables, external links, and dependencies). Using the GeoPDF format, publishers of spatial data can select the specific spatial data they want recipients to see and can publish GIS source files into a single GeoPDF file. GeoPDF files are not a replacement for native GIS formats. GIS professionals still need the original files for editing or updating spatial data. GeoPDF files enable non-GIS professionals, field technicians, business executives, and their colleagues to utilize rich spatial information. Users can view and print GeoPDF files with the free and ubiquitous Adobe Reader ,and they can do more with the data using a free plug-in called TerraGo Toolbar. Users do not have to install this plug-in to view GeoPDF files.

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USGS Geopdf's for Pennsylvania
2023

Venango County - Parcels

Tax Parcels

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Venango County
2023

Venango County - Streets

Street Centerlines

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Venango County
2020

Warren County - Parcels

Tax Parcels

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Warren County
2024

Washington County - Address Points

Washington County address points generated by the Department of Public Safety

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Washington County
2022

Washington County - Amenities

Washington County amenities maintained by the Washington County GIS Department

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Washington County
2023

Washington County - Buildings

Washington County building outlines generated by the Department of Tax Revenue

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Washington County
2024

Washington County - County Owned Roads

Washington County County Owned Roads

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Washington County
2022

Washington County - Election Precincts

Washington County election precincts maintained by the Washington County Elections and GIS Departments

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Washington County
2022

Washington County - Magisterial Districts

Washington County Magisterial Districts

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Washington County
2024

Washington County - Magistrate Offices

Washington County Magistrate Offices

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Washington County
2022

Washington County - Municipal Boundaries

Washington County municipal outlines generated by the Department of Tax Revenue

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Washington County
2022

Washington County - Municipal Offices

Washington County Municipal Offices

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Washington County
2023

Washington County - Parcels

Parcel data developed by the Department of Tax Revenue

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Washington County
2023

Washington County - Parks

Washington County parks maintained by the Planning Department

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Washington County
2022

Washington County - Polling Locations

Washington County polling locations maintained by the Washington County Elections and GIS Departments

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Washington County
2024

Washington County - Road Centerlines

Washington County Road Centerlines generated by the Department of Public Safety

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Washington County
2021

Washington County - School Districts

Washington County School Districts

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Washington County
2021

Wyoming County - Addresses

Locations of structures detemined via field varification and attributed with latitude and logitude information based on the local project of NAD_1983_StatePlane_Pennsylvania_North_FIPS_3701_Feet. Data for structure points and address information is maintained for use in emergency response 911 purposes. This data is created/updated on a daily basis as needed.

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Wyoming County
2021

Wyoming County - Parcels

Parcel boundaries for Wyoming County, PA

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Wyoming County
2021

Wyoming County - Streets

Roads centerline data for Wyoming County, PA. Data has been developed using the basemap of 2012 aerial imagery from County sources. Road name information is determined from local municipal road naming resolutions. Any road numbering information is acquired from PADOT records. Data is updated on a daily basis as creation/updates occur

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Wyoming County
2022

York County - Address Points

Locations of all address point locations in York County. Intended for illustration and demonstration purposes. Intended for illustration and demonstration purposes only. Layer was not intended for use under 1:2400

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York County
2022

York County - Agricultural Security Area

Agricultural security areas are intended to promote more permanent and viable farming operations over the long term by strengthening the farming community's sense of security in land use and the right to farm. Agricultural security areas are created by local municipalities in cooperation with individual landowners who agree to collectively place at least 250 acres in an agricultural security area. This is the Ag Security Easements in York County, Pennsylvania. Intended for illustration and demonstration purposes only.

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York County
2022

York County - Airports

Airports and Heliports within York County and those within a 3 mile buffer outside of York County border called "Area of Influence." Intended for illustration and demonstration purposes only.

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York County
2022

York County - Bicycle Corridors

Bike Corridors and Potential Bike Corridors in York County PA

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York County
2022

York County - Buildings

Locations of all buildings point locations in York County. The Building Points are broken down into two categories - Main Living Quarters and Auxiliary Building. This data was last updated in 2008-09. Intended for illustration and demonstration purposes only. Layer was not intended for use under 1:2400

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York County
2022

York County - College Campuses

College Campuses in York County, Pennsylvania. Showing the dormitories and buildings of York County Colleges

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York County
2022

York County - Conservation Easements

The agricultural conservation easement may be granted by a farmland owner to the Commonwealth of Pennsylvania, a county agricultural land preservation program, a local government unit or a local land trust. Easements can be sold or donated. After an easement is sold or donated, the conservation easement restrictions are recorded in the recorder of deeds office in the county where the easement is located.

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York County
2020

York County - Contours - 2FT

York County 2ft Contours. Generated from 2015 LiDAR.

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York County
2022

York County - County Boundary

York County Boundary Pennsylvania

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York County
2022

York County - DES EMS Stations

EMS Stations in York County, Pennsylvania

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York County
2022

York County - DES Fire Stations

Fire Stations in York County, Pennsylvania

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York County
2022

York County - DES Police Stations

Police Stations in York County, Pennsylvania

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York County
2022

York County - Government Offices

Goverment Offices in York County, Pennsylvania

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York County
2022

York County - Growth Areas

Growth Areas as Defined by the York County Planning Commission

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York County
2022

York County - Impaired Streams

Impaired streams of York County, Pennsylvania

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York County
2022

York County - Lakes and Ponds

Lakes and ponds of York County, Pennsylvania

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York County
2022

York County - Land Joins

Land Joins of York County, Pennsylvania

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York County
2022

York County - Landcover

2003 York County Landcover Layer. Aerial Imagery used for creation of this dataset was from PAMAP program in 2003. Other Layers Used in this layer is Parcels (for snapping and Landuse codes), Lakes and Ponds, Parks, Roads buffered to 11 feet on each side, Streams buffered to 6 feet on each side and Railroads buffered to 8 feet on each side. Dataset has been dissvoled except for Road Rightaway which has been dissolved by tiles that are used in the PAMAP program. Oldest oblqiue and google streetview was used as well. Intended for illustration and demonstration purposes only

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York County
2022

York County - Libraries

Shows Libraries in York County. For illustration purposes only; Not for scales above 1;24000

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York County
2022

York County - Magisterial

Magisterial Districts in York County, Pennsylvania

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York County
2022

York County - Medical Facilities

Existing medical centers in York County, PA

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York County
2022

York County - Municipal Boundary

Municipal Boundaries in York County, Pennsylvania

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York County
2022

York County - Natural Areas Inventory

This shapefile contains the Core Habitat of Biological Diversity Areas identified through the County Natural Heritage Inventory program of the Pennsylvania Natural Heritage Program. County Natural Heritage Inventories focus on areas that are the best examples of ecological resources in a county. Although agricultural lands and open space may be included as part of inventory areas, the emphasis for the designation and delineation of the areas are the ecological values present. Important selection criteria for Natural Heritage Areas are the existence of habitat for plants and animals of special concern, the existence of uncommon or especially important natural communities, and the size and landscape context of a site containing good quality natural features. Large areas and areas that are minimally disturbed by development provide the backbone that links habitats and allows plants and animals to shift and move across sizable portions of the landscape. Core Habitat areas are intended to identify the essential habitat of the species of concern or natural community that can absorb very little activity or disturbance without substantial impact to the natural features. Polygons are based on aerial photo interpretation, field surveys, and existing PNDI data and were delineated by the ecologists on-screen using ArcView (ESRI, Inc., Version 3.3, 8x, and 9x) with the 1:24,000 scale USGS Digital Raster Graphics and/or Digital Aerial Photography images as a background. For each core habitat polygon, the attribute table contains fields indicating the Site Name and Significance. See individual CNHI reports for further information on methodology, site descriptions, and species or communities found at each site.

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York County
2022

York County - Nursing Homess

Nursing home locations of York County, Pennsylvania

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York County
2022

York County - Parcels

This layer is all the parcels in York County, PA

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York County
2022

York County - Park and Rides

Park and Rides Operated by Rabbit Transit.

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York County
2022

York County - Parks

York County Parks

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York County
2022

York County - Planning Subdivisions

Shows the Subdivsion Data from YCPC

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York County
2022

York County - Polling Locations

A dataset that shows the polling locations of York County Geocoded to the Correct location in the County. Created in cooperation with the Voting Office of York County.

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York County
2022

York County - Railroads

York County Railroads. For illustration purposes only; Not for scales above 1;24000

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York County
2018

York County - Recreation Trails

York County Existing and Potential Trails

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York County
2020

York County - Roads

This layer is all the Public Roads in York County, PA

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York County
2022

York County - School District Boundaries

York County school district boundaries

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York County
2022

York County - School Locations points

Point locations of all private/public school buildings in York County.

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York County
2022

York County - Senate District Boundaries

Senate District boundaries of York County, Pennsylvania

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York County
2014

York County - Soils

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

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York County
2022

York County - Streams

Streams of York County, Pennsylvania

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York County
2022

York County - Transit Routes

Rabbit Transit Routes in the South Central Pa Area

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York County
2022

York County - Transit Stops

Rabbit Transit Bus Stop locations in York County, Pennsylvania

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York County
2022

York County - Unique Features

Unique features of York County, Pennsylvania

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York County
2022

York County - Voting

Voting Districts in York County, Pennsylvania

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York County
2022

York County - Zipcodes

Zipcodes of York County

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York County
2022

York County - Zoning

Shows the Zoning of York County. Updated when Approved by the Planning Commission board and a resolution is passed through the Municipaltiy that is the effected area is.

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York County
2022

York County - Zoning Overlays

Shows the Zoning overlays of York County. Updated when Approved by the Planning Commission board and a resolution is passed through the Municipaltiy that is the effected area is.

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York County
2016

YCPC 2015 Digital Orthoimagery for York County, Pennsylvania

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the YCPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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York County Planning Commission
2016

YCPC 2015 Digital Orthoimagery for York County, Pennsylvania - County Mosaics

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the YCPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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York County Planning Commission
2016

YCPC 2015 Digital Orthoimagery for York County, Pennsylvania- Tile Index

Multi-spectral digital orthophotography was produced at a scale of 1:2400 (1 in = 200 ft) with a 12 inch pixel resolution for the YCPC project area. Digital orthophotography combines the image characteristics of a photograph with the geometric qualities of a map. Orthophoto data is produced through the use of digitized perspective aerial photographs or other remotely sensed image data. This data is processed into a digital product that has been rectified for camera lens distortion, vertical displacement caused by terrain relief, and variations in aircraft altitude and orientation.

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York County Planning Commission