Search Results

Date	Title	Provider
2018	Glacial Deposits of Northwestern Pennsylvania Digitized regional surficial geology map for northwestern Pennsylvania. The complete citation for the paper map is: Map of the Glacial Deposits of Northwestern Pennsylvania by V.C. Shepps, J.B. Droste, and R.F. Sitler under the supervision of G.W.White, 1959, Bulletin G-32, Pennsylvania Geologic Survey. The original map was published at a scale of 1:125,000. Three counties are fully covered by these deposits and mapped (Crawford, Erie, and Mercer); five more are partially covered and mapped (Beaver, Butler, Lawrence, Warren, and Venango). This GIS dataset shows the areal distribution of 14 distinct glacial deposits from the Pleistocene Epoch and Recent stream alluvium and/or bedrock exposures. All mapping activity and lithologic interpretations were made by the original authors of the map (Shepps et al., 1959); the authors of this electronic geospatial resource (Shaffer et al., 2005) have only provided digital transfer of the map features and attributes and documentation of the process. Purpose: This dataset identifies the distribution of surficial unconsolidated sediments (glacial deposits and stream alluvium) in northwestern PA. This map is the only published comprehensive regional surficial geologic map available for the region. The original map was digitized to provide an electronic version for GIS work. Potential users should read the Supplemental Information Section (below) to determine the appropriate scale for using these data. More detailed surficial geologic maps may exist within the mapped area in either paper or electronic format. Researchers are encouraged to check with the U.S. Geological Survey, Pennsylvania Geologic Survey, PASDA, and/or Geology Departments at local universities and colleges for other maps. Metadata | Download | More Options...	Allegheny College
2010	Thickness of Glacial Deposits, Western Crawford County, Pennsylvania Digitized sediment thickness map for western Crawford County, Pennsylvania. (The term western applies to all portions of the county west of 80 degrees 07' 30") The complete citation for the source map is: Map Showing the Thickness of Glacial Deposits and Locations of Wells in Western Crawford County, Pennsylvania by George R. Schiner and John T. Gallaher, 1979, W46, Plate 2. The original map was published at a scale of 1:50,000. The map is a part of the Pennsylvania Geologic Survey Water Resource Report 46, Geology and Groundwater Resources of Western Crawford County, Pennsylvania. This GIS dataset shows the areal distribution of glacial deposits and estimated well yields across the western portion of Crawford County. Water well locations published on the source map have not been included here. All mapping activity and thickness interpretations were made by the original authors of the map (Shiner and Gallaher, 1979); the authors of this electronic geospatial resource (Shaffer et al., 2010) have only transferred the map features, assigned attributes, and documented our process. Metadata | Download | More Options...	Allegheny College
2010	Thickness of Unconsolidated Deposits of Erie County, Pennsylvania Digitized sediment thickness map for Erie County, Pennsylvania. The complete citation for the source map is: Map Showing the Thickness of Unconsolidated Deposits, Locations of Selected Wells, and Seismic-Refraction Cross Sections by David B. Richards, J. Jack McCoy, and John T. Gallaher, 1987, W62, Plate 2. The original map was published at a scale of 1:62,500. The map is a part of the Pennsylvania Geologic Survey Water Resource Report 62, Groundwater Resources of Erie County, Pennsylvania. This GIS dataset shows the areal distribution of sediment thickness across Erie County. Water well locations and geophysical data on the source map have not been included here. All mapping activity and thickness interpretations were made by the original authors of the map (Richards et al., 1987); the authors of this electronic geospatial resource (Shaffer et al., 2010) have only transferred the map features, assigned attributes, and documented our process. Metadata | Download | More Options...	Allegheny College
2004	Pennsylvania water quality database Database containing more than 33,466 records on water quality from 1986 to the present from 622 testing sites throughout Pennsylvania. Information in records includes at least alkalinity and Ph and includes nitrates and phosphates for some sites since 1996. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Alliance for Aquatic Resource Monitoring
2002	Urban Ecosystem Analysis Ikonos interpreted land cover for the Cobbs/Mill Creek and Tacony/Frankford Creek watersheds AMERICAN FORESTS conducted an urban ecosystem analysis of the Delaware Valley region to provide community leaders with detailed information about the region's tree cover and its environmental and economic impacts. The analysis documents what landscape changes have occurred over time and how these changes have impacted the environmental services the urban forest provides to the region. The study used Geographic Information Systems (GIS) technology to connect image analysis of the area to ecological assessment of tree cover change trends over the last 15 years. In addition, AMERICAN FORESTS created a "green data layer" -a digital tool that local communities can use to integrate urban forest ecology into their future planning. Frankford Tacony, Mill Creek and Cobbs Creek in Pennsylvania and the Big Timber in New Jersey were selected for analysis and to create a detailed (4-meter resolution) digital landcover. The detailed analysis used a high-resolution satellite image as the basis for creating a "green data layer" or classified land cover image. This digital mapping tool enables planners to integrate green infrastructure into their future planning. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	American Forests
1985	Urban Ecosystem Analysis Landsat interpreted land cover for the Delaware Valley AMERICAN FORESTS conducted an urban ecosystem analysis of the Delaware Valley region to provide community leaders with detailed information about the region's tree cover and its environmental and economic impacts. The analysis documents what landscape changes have occurred over time and how these changes have impacted the environmental services the urban forest provides to the region. The study used Geographic Information Systems (GIS) technology to connect image analysis of the area to ecological assessment of tree cover change trends over the last 15 years. This file represents a reclassification of 30-meter resolution Landsat Thematic Mapper imagery. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	American Forests
1993	Urban Ecosystem Analysis Landsat interpreted land cover for the Delaware Valley AMERICAN FORESTS conducted an urban ecosystem analysis of the Delaware Valley region to provide community leaders with detailed information about the region's tree cover and its environmental and economic impacts. The analysis documents what landscape changes have occurred over time and how these changes have impacted the environmental services the urban forest provides to the region. The study used Geographic Information Systems (GIS) technology to connect image analysis of the area to ecological assessment of tree cover change trends over the last 15 years. This file represents a reclassification of 30-meter resolution Landsat Thematic Mapper imagery. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	American Forests
2000	Urban Ecosystem Analysis Landsat interpreted land cover for the Delaware Valley AMERICAN FORESTS conducted an urban ecosystem analysis of the Delaware Valley region to provide community leaders with detailed information about the region's tree cover and its environmental and economic impacts. The analysis documents what landscape changes have occurred over time and how these changes have impacted the environmental services the urban forest provides to the region. The study used Geographic Information Systems (GIS) technology to connect image analysis of the area to ecological assessment of tree cover change trends over the last 15 years. This file represents a reclassification of 30-meter resolution Landsat Thematic Mapper imagery. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	American Forests
2005	AMC Pennsylvania Highlands The state of PA that falls within the Higlands Regional Study Area designated by the USFS. Plus, the extended area designated by the Appalachian Mountain Club to the border of Maryland. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2005	Critical Treasures A Critical Treasure is a recognized priority area for additional land conservation efforts in the Highlands that has significant value of open space preservation, watershed protection, habitats for plants or wildlife, or outdoor recreation. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2005	Greenway Corridors Corridors are made up of the least disturbed and therefore the best potential lands available to unite core conservation areas. These are key landscapes that provide opportunities for biodiversity while contributing to the greenway’s overall ecological richness. The hubs and corridors are the major concentration of the map and serve as the core conservation areas in the PA Highlands Greenway. The hub and spoke system was created by AMC by combining the results of two analysis techniques, stronghold analysis and the Natural Lands Trust’s Smart ConservationTM.. Stronghold analysis identifies areas that are least affected by man-made disturbances such as roads and fragmentation of the natural landscape while Smart Conservation determines the ecological health of an area. The combination of these two analyses in conjunction with the knowledge of local stakeholders was used to prioritize core conservation areas. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2007	Greenway Hubs Hubs are areas that have a high natural resource value such as large intact forests or abundant wildlife. They have little fragmentation and include unfragemented forests and farmland. Hubs are both undisturbed natural lands and adjacent protected lands such as state parks, forests or state game lands. The hubs and corridors are the major concentration of the map and serve as the core conservation areas in the PA Highlands Greenway. The hub and spoke system was created by AMC by combining the results of two analysis techniques, stronghold analysis and the Natural Lands Trust’s Smart ConservationTM.. Stronghold analysis identifies areas that are least affected by man-made disturbances such as roads and fragmentation of the natural landscape while Smart Conservation determines the ecological health of an area. The combination of these two analyses in conjunction with the knowledge of local stakeholders was used to prioritize core conservation areas. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2005	Mid-Atlantic Highlands States that fall within the Higlands Regional Study Area designated by the USFS, portions of CT, NJ, NY, and PA. PA Highlands boundary was extended by the Appalachian Mountain Club to the border of Maryland. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2012	USFS Pennsylvania Highlands Portion of Pennsylvania that fall within the Higlands Regional Study Area. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Mountain Club
2003	Appalachian Trail centerline This data set represents the most current depiction of the Appalachian National Scenic Trail centerline for the portion of the trail passing through Pennsylvania. Locational information used to create this data set were obtained from both Global Positioning Systems (GPS) survey data collected between 1998-2001 and information digitized from USGS topographical maps and Appalachian Trail maps. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Appalachian Trail Conference
2003	Big Brown Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Eastern Pipistrelle distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Eastern Red Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Eastern Small-footed Myotis distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Evening Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Hoary Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Indiana Myotis distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Little Brown Myotis distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Northern Myotis distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Rafinesque's Big-eared Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Seminole Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Silver-haired Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Southeastern Myotis distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2003	Townsend's Big-eared Bat distribution in North America This map layer portrays our current understanding of the distributions of United States and Canadian bat species during the past 100-150 years. Specimen and capture data were obtained from a variety of data sources, including U.S. State natural heritage programs, Canadian conservation data centers, published literature, unpublished reports, museum collections, and personal communications from university, federal, State and local biologists. Records are all specimen, roost, capture, or positive visual identification-based; no acoustic-only identifications were used for this map layer. This map layer reflects minor changes to the July, 2002, data set. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Bat Conservation International
2006	Allegheny County: Landscape Ecology and Green Infrastructure The 3 Rivers 2nd Nature project was directed by artists/researchers Tim Collins and Reiko Goto. The project addressed the meaning, form, and function of public space and nature in Allegheny County, PA, U.S.A. This is the region that encompasses the former steel industry capital of the United States, Pittsburgh PA, U.S.A. 3 Rivers 2nd Nature focused upon the three major rivers; the Allegheny, the Monongahela, and the Ohio Rivers, as well as the streams and subwatersheds. This five-year project revisited questions of nature and post-industrial public space, first addressed on the Nine Mile Run Greenway Project. The focus of the work is research to benefit the public realm, applied as strategic knowledge with accompanying outreach programs intended to enable creative public advocacy and change. The 3 Rivers 2nd Nature conducted integrative analysis and instrumental planning based upon the rigorous field studies that began in the year 2000. The work effort focused upon partnerships to accomplish interdisciplinary analysis, spatial mapping, and concept design within and among specific communities. The work culminated with an ecological design plan and a water quality policy report that analyzed alternatives for ongoing water quality sampling. Finally, the project team has organized the "Monongahela Conferences" and the subsequent 2005 "Groundworks" exhibition (October 2005) to examine the artist's role in social and environmental change. Metadata | Download | More Options...	Carnegie Mellon University
2011	Choptank River Heritage Access Public landings and other river access points to the Choptank River and its tributaries, on Maryland's Eastern Shore. Metadata | Download | More Options...	Choptank River Heritage
2011	Choptank River Heritage Environmental Shows environmental education and preservation sites in or near the watershed of the Choptank River, on Maryland's Eastern Shore, that are of interest to tourism planners, historians, and environmentalists. Metadata | Download | More Options...	Choptank River Heritage
2011	Choptank River Heritage Historic Sites Shows historic sites in or near the watershed of the Choptank River, on Maryland's Eastern Shore, that are of interest to tourism planners, historians, and environmentalists. Metadata | Download | More Options...	Choptank River Heritage
2011	Choptank River Heritage NRHP (National Register of Historic Places) This map shows NRHP sites in the Mid-Shore counties of Kent, Queen Anne, Caroline, Talbot, and Dorchester, on Maryland's Eastern Shore. Map data was provided to the Choptank River Heritage Center (CRHC) by the office of the Chief Archeologist/GIS Coordinator, Maryland Historical Trust, Maryland Department of Planning, 100 Community Place, Crownsville, MD 21032. Metadata | Download | More Options...	Choptank River Heritage
2010	Choptank River Heritage Watershed Shows watershed of the Choptank River and its tributaries, on Maryland's Eastern Shore. Metadata | Download | More Options...	Choptank River Heritage
2010	United States Protected Areas (PAD-US 1.1 (CBI Edition)) Protected areas are cornerstones of national and international conservation strategies. By way of these designations, lands and waters are set-aside in-perpetuity to preserve functioning natural ecosystems, act as refuges for species, and maintain ecological processes. Complementary conservation strategies preserve land for the sustainable use of natural resources, or for the protection of significant geologic and cultural features or open space. PAD-US 1.1 (CBI Edition) attempts to include all available spatial data on these places. It is our goal to publish the most comprehensive geospatial data set of U. S. protected areas to date. PAD-US 1.1 (CBI Edition) is limited to the continental U.S., Alaska, and Hawaii. It does not include protected areas data for U.S. territories at this time. The PAD-US 1.1 (CBI Edition) data set portrays the nation's protected areas with a standardized spatial geometry and numerous valuable attributes on land ownership, management designations, and conservation status (using national GAP and international IUCN coding systems). The PAD-US 1.1 (CBI Edition) defines protected area to include all lands dedicated to the preservation of biology diversity and to other natural, recreation and cultural uses, and managed for these purposes through legal or other effective means (adapted from IUCN definition). The database represents the full range of conservation designations that preserve these natural resources in the United States. Our database does not distinguish a protection threshold above which biodiversity is considered secure. Instead, a complete suite of protected area attributes are provided for each polygon with the purpose of giving users the information they need to define the most relevant conservation thresholds for their own objectives and requirements. Collaborating with the nation's leading data providers, the goal is to provide an annual update. Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Conservation Biology Institute
2006	Eastern Brook Trout Joint Venture The Eastern Brook Trout Joint Venture (EBTJV) is the nation's first pilot project under the National Fish Habitat Initiative, which directs locally-driven efforts that build private and public partnerships to improve fish habitat. The long-term goals of the EBTJV are to develop a comprehensive restoration and education strategy to improve aquatic habitat, to raise education awareness, and to raise federal, state and local funds for brook trout conservation. In 2005, in recognition of the need to address regional and range-wide threats to brook trout, a group of public and private entities formed the EBTJV to halt the decline of brook trout and restore fishable populations. The group spearheaded a range-wide assessment of brook trout populations and threats to brook trout and brook trout habitat in the Eastern United States (report forthcoming). Seventeen states are currently drafting strategies to prioritize policy changes and on-the-ground actions to improve water quality and restore brook trout habitat and populations in their individual state using locally-driven, incentive-based, and non-regulatory programs. Metadata | Download | More Options...	Eastern Brook Trout Joint Venture
2022	EPCAMR - AMD discharges Water Quality of the Large Discharges from Mines in the Anthracite Region of Eastern Pennsylvania. Developed by USGS to showcase the locations and water quality of the anthracite discharges Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Eastern Pennsylvania Coalition for Abandoned Mine Reclamation
2014	EPCAMR - Pennsylvania small watersheds plus Boundaries of 9,895 watersheds in Pennsylvania indicated in the Pennsylvania gazetteer of streams. These boundaries enclose catchment areas for named streams officially recognized by the Board on Geographic Names and other unofficially named streams that flow through named hollows. ERRI extracted, reprojected and edgematched datasets for major watersheds produced by the Water Resources Division of the U.S. Geological Survey into this smallsheds coverage of the state of Pennsylvania. EPCAMR spatially joined PA DEP 104 Major Sheds, Act 167 Stormwater and PA River Basins layers and incorporated them into the attributes to show features as pieces of a bigger watershed (2009). Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Eastern Pennsylvania Coalition for Abandoned Mine Reclamation
2000	Neshaminy Creek watershed conservation plan Watershed conservation plan for the Neshaminy Creek. Contains multiple datasets including park boundaries, cultural places, floodplains, hydrology, municipal boundaries, land use, roads, railroads, soils, and zoning Metadata | Download | More Options...	Heritage Conservancy
2012	Riparian Buffer Assessment During 2011 - 2012, the Pennsylvania Department of Environmental Protection (PA DEP), as part of the Coastal Zone Management (CZM) Program and Pennsylvania Stream ReLeaf, funded Heritage Conservancy to develop a rapid assessment method to identify and map sections of stream lacking riparian forest buffers. Montgomery County Planning Commission provided in-kind funding for the project as well as completing the assessment portion in Montgomery Count. Heritage Conservancy completed the assessment for the areas in Bucks County and Philadelphia County. Both organizations then mapped waterways lacking riparian forest buffers. The assessment included the main stem, tributaries and small headwater streams. The 1' pixel resolution 2010 aerials from DVRPC served as the basis for the riparian conditions along the waterways. The forest buffer conditions were classified and digitized into a Geographic Information System (GIS). This dataset is an assessment of the same area completed back in 200-2004. The same methodology of creating 50 foot buffers from the edge of water to assess the tree cover in this area was used. The stream centerline is used to represent the classification of whether one side, both sides, or neither side has tree cover. In addition to the three categories from the previous assessment, the category of culvert was added to incorporate areas where there was not an opportunity for tree cover. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Heritage Conservancy
2000	Riparian Buffers for Southeast Pennsylvania During 2000 - 2004, the Pennsylvania Department of Environmental Protection (PA DEP), as part of the Coastal Zone Management (CZM) Program and Pennsylvania Stream ReLeaf, funded Heritage Conservancy to develop a rapid assessment method to identify and map sections of stream lacking riparian forest buffers. The conservancy then assessed various watersheds in southeastern Pennsylvania and mapped waterways lacking riparian forest buffers. The assessment included the main stem, tributaries and small headwater streams. Interpretation of 1" = 400' black-and-white high altitude aerial photographs, Orthophotos, and videotape from helicopter over flights were used to determine the presence or absence of a forested buffer for 1,200 miles of stream. The forest buffer conditions were classified and digitized into a Geographic Information System (GIS). A series of large-scale (1" = 400') maps were produced showing sections of stream bank lacking forest buffers. Local conservation groups were given the maps to assist them in targeting areas for riparian buffer plantings to improve water quality. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Heritage Conservancy
2007	Riparian Streams - Berks County This is a county wide analysis of Berks County waterways to determine riparian buffer values given a 50 ft., 50% canopy coverage requirement. The analysis was done by first overlaying the stream shapefile on the orthophotos. Next a 50 ft. buffer shapefile was derived from the streamlines and added. Using the newly created buffer shapefile as a guide, visual analysis was done for entire shapefile. The canopy coverage percentage was interpreted by Heritage Conservancy and buffer shapefile was used to define the 50 ft. distance requirement. At a scale of 1:2,000, the streamlines were attributed with one of three riparian values (full, half, none). - Full Value: both banks of the stream contain 50% or greater canopy coverage for 50 ft from the stream. - Half Value: only one bank of the stream contains 50% or greater canopy coverage. - None Value: neither stream bank contains 50% or greater canopy coverage. The threshold for determining whether or not a shoreline segment or a stream centerline segment should be used for the analysis was if the waterway was wider than 100 ft for a linear distance of approximately 400 ft. If a waterway was wider than 100 ft. for a linear distance of approximately 400 ft., shorelines would be used rather than stream centerlines. Having the threshold include a 400 ft linear distance requirement made many ponds be represented by a centerline rather than a shoreline. In cases were the original data contained two shorelines to represent a stream that was not greater than 100 ft wide, a new centerline was created by Heritage Conservancy by using the orthophotos and the shorelines as guides. Ponds that were delineated to represent headwaters were not included in this analysis. Analysis and editing would begin at the tributary originating from the pond, but the pond itself would not be given a riparian value. Edits to the shape of the streamline were done when they were visually obvious. The point of this analysis was not to delineate new stream lines, but rather to give existing streamlines riparian buffer attributes. The large majority of the segments are identical to the original Berks County Planning Commission streamlines. Stream and shorelines were cut into segments based on the riparian attribute value. Ten sites were chosen for on-site verification and they were visited in July 2007. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Heritage Conservancy
2009	Keep Pennsylvania Beautiful - Illegal Dump Surveys - points PA CleanWays' illegal dump surveys educate state, county and local officials, as well as citizens, about the problem of illegal dumping and provide valuable data about the dumpsites and the community in which they reside. Illegal dumping mostly occurs in remote and secluded places, rural areas where few persons live, and the roads are less traveled. However, for many people who are residents of an urban area, an illegal dump is often within a one-mile radius of their home. Overall, very few people are aware of the widespread problem of illegal dumping in Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Keep Pennsylvania Beautiful
2010	Keep Pennsylvania Beautiful - Illegal Dump Surveys - points Keep Pennsylvania Beautiful illegal dump surveys educate state, county and local officials, as well as citizens, about the problem of illegal dumping and provide valuable data about the dumpsites and the community in which they reside. Illegal dumping mostly occurs in remote and secluded places, rural areas where few persons live, and the roads are less traveled. However, for many people who are residents of an urban area, an illegal dump is often within a one-mile radius of their home. Overall, very few people are aware of the widespread problem of illegal dumping in Pennsylvania. Metadata | Download | Preview | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Keep Pennsylvania Beautiful
2011	Keep Pennsylvania Beautiful - Illegal Dump Surveys - points Keep Pennsylvania Beautiful illegal dump surveys educate state, county and local officials, as well as citizens, about the problem of illegal dumping and provide valuable data about the dumpsites and the community in which they reside. Illegal dumping mostly occurs in remote and secluded places, rural areas where few persons live, and the roads are less traveled. However, for many people who are residents of an urban area, an illegal dump is often within a one-mile radius of their home. Overall, very few people are aware of the widespread problem of illegal dumping in Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Keep Pennsylvania Beautiful
2015	Upper Delaware Scenic & Recreational River (UPDE) - Boundary These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways. Spatial data contained herein represent the administrative boundary of the Upper Delaware Scenic & Recreational River (UPDE) as defined in the 1986 Upper Delaware Scenic & Recreational River Management Plan. The data are intended for general GIS analysis, display, planning, and reference purposes only. The spatial data contained herein are a digital representation of the Upper Delaware Scenic & Recreational River's administrative boundary. These digital data were derived from the official version of the boundary as represented in hard-copy form in the 1986 Upper Delaware Scenic & Recreational River Management Plan, as approved in the 1987 Record of Decision. The plan boundary, which was established to meet the resource protection requirements set forth in the Wild and Scenic Rvers Act and in the Special Statutory Provisions for the Upper Delaware, was delineated so as to encompass "lands from which runoff drains directly into the river and tributary drainages upstream to the first prominent topographic feature" (River Management Plan, 1986). The authoritative area of the boundary as given in the 1986 River Management Plan is 55,574.5 acres. At present, the National Park Service owns approximately 31 acres within the boundary, and the remaining land is mostly privately owned, with some state and local government holdings. The boundary was digitized based on the eight pages of maps from the River Management Plan georeferenced to 7.5 minute quadrangle topo maps from the USGS Historical Topographic Map Collection. National Park Service, Upper Delaware Scenic & Recreational River . Credits: Shannon L. Thol - Graduate Certificate in GIS, Master of Geographic Information Systems - Under contract by National Park Service, Upper Delaware Scenic & Recreational River to complete task of digitizing Upper Delaware Scenic & Recreational River's administrative boundary. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	National Park Service
2015	Upper Delaware Scenic & Recreational River (UPDE) - Land These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways. Spatial data contained herein represent the administrative boundary of the Upper Delaware Scenic & Recreational River (UPDE) as defined in the 1986 Upper Delaware Scenic & Recreational River Management Plan. The data are intended for general GIS analysis, display, planning, and reference purposes only. The spatial data contained herein are a digital representation of the Upper Delaware Scenic & Recreational River's administrative boundary. These digital data were derived from the official version of the boundary as represented in hard-copy form in the 1986 Upper Delaware Scenic & Recreational River Management Plan, as approved in the 1987 Record of Decision. The plan boundary, which was established to meet the resource protection requirements set forth in the Wild and Scenic Rvers Act and in the Special Statutory Provisions for the Upper Delaware, was delineated so as to encompass "lands from which runoff drains directly into the river and tributary drainages upstream to the first prominent topographic feature" (River Management Plan, 1986). The authoritative area of the boundary as given in the 1986 River Management Plan is 55,574.5 acres. At present, the National Park Service owns approximately 31 acres within the boundary, and the remaining land is mostly privately owned, with some state and local government holdings. The boundary was digitized based on the eight pages of maps from the River Management Plan georeferenced to 7.5 minute quadrangle topo maps from the USGS Historical Topographic Map Collection. National Park Service, Upper Delaware Scenic & Recreational River . Credits: Shannon L. Thol - Graduate Certificate in GIS, Master of Geographic Information Systems - Under contract by National Park Service, Upper Delaware Scenic & Recreational River to complete task of digitizing Upper Delaware Scenic & Recreational River's administrative boundary. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	National Park Service
2015	Upper Delaware Scenic & Recreational River (UPDE) - Water These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways. Spatial data contained herein represent the administrative boundary of the Upper Delaware Scenic & Recreational River (UPDE) as defined in the 1986 Upper Delaware Scenic & Recreational River Management Plan. The data are intended for general GIS analysis, display, planning, and reference purposes only. The spatial data contained herein are a digital representation of the Upper Delaware Scenic & Recreational River's administrative boundary. These digital data were derived from the official version of the boundary as represented in hard-copy form in the 1986 Upper Delaware Scenic & Recreational River Management Plan, as approved in the 1987 Record of Decision. The plan boundary, which was established to meet the resource protection requirements set forth in the Wild and Scenic Rvers Act and in the Special Statutory Provisions for the Upper Delaware, was delineated so as to encompass "lands from which runoff drains directly into the river and tributary drainages upstream to the first prominent topographic feature" (River Management Plan, 1986). The authoritative area of the boundary as given in the 1986 River Management Plan is 55,574.5 acres. At present, the National Park Service owns approximately 31 acres within the boundary, and the remaining land is mostly privately owned, with some state and local government holdings. The boundary was digitized based on the eight pages of maps from the River Management Plan georeferenced to 7.5 minute quadrangle topo maps from the USGS Historical Topographic Map Collection. National Park Service, Upper Delaware Scenic & Recreational River . Credits: Shannon L. Thol - Graduate Certificate in GIS, Master of Geographic Information Systems - Under contract by National Park Service, Upper Delaware Scenic & Recreational River to complete task of digitizing Upper Delaware Scenic & Recreational River's administrative boundary. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	National Park Service
2016	Delaware River Watershed Municipalities Natural Lands Trust works proactively to protect the natural heritage of the Philadelphia region for today and generations to come. This file contains various layers and maps for Schuylkill Action Network - Land Prioritization Strategy Model Included maps are: Composite Resource Protection Prioritization, Composite Resource Protection Prioritization 3 color, DVRPC Future Development Year 2020-2030, Future Development on High Priority CRP Areas, NLT SC Conservation Resource Prioritization, PWD Source Water Model. Also included are the GIS data layers that support these maps. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Natural Lands Trust
2023	Natural Lands Trust - Public Preserves These are the NLT preserves that are currently open to the public. Trails, parking areas, and other information can be found on the NLT website: https://natlands.org/category/preserves-to-visit/list-of-preserves/ Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Natural Lands Trust
2015	Delaware River Watershed Initiative - Soils Two seamless soils datasets based on USDA’s SSURGO and STATSGO databases were created for the entire DRB region, and information pertaining to various soil-related factors such as erodibility (k factor), available water - holding capacity, texture, etc. were compiled and summarized for discrete mapping units at these two scales. The SSURGO (Soil Survey Geographic) database is compiled at the detailed county-level survey scale that most soil information users are familiar with, and has two basic components: 1) digital boundaries of the detailed soil mapping units, and 2) tabular information on a wide range of soil parameters associated with each mapping unit. The STATSGO (State Soil Geographic) database summarizes similar soils information at a much more generalized “soil association” scale. Both of these datasets for the DRB area were downloaded from USDA’s “geospatial data” site at http://datagateway.nrcs.usda.gov. Once downloaded, considerable effort was then expended to first seam together the data from the separate states overlapping the DRB, and then to “populate” both soil databases by linking a number of “attribute tables” to the soils polygons contained within the DRB boundary. In this case, over 325,000 soil polygons were populated with information extracted from about a dozen different attribute tables. Metadata | Download | More Options...	Open Space Institute
2006	Delaware Estuary Boundary Boundary of the Delaware Estuary Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Partnership for the Delaware Estuary
2004	Protected Lands Inventory: Agricultural Easements This data layer depicts a subset of protected lands information for the Commonwealth of Pennsylvania. The data for all of the Protected Lands Inventory layers was collected from the 1998 PA GAP Analysis Program's Managed Lands data layer as well as from hard copy and digital data provided by land trusts and local governments. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Conservation Fund
2004	Protected Lands Inventory: Federal Land This data layer depicts a subset of protected lands information for the Commonwealth of Pennsylvania. The data for all of the Protected Lands Inventory layers was collected from the 1998 PA GAP Analysis Program's Managed Lands data layer as well as from hard copy and digital data provided by land trusts and local governments. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Conservation Fund
2004	Protected Lands Inventory: Nonprofit and Private Lands This data layer depicts a subset of protected lands information for the Commonwealth of Pennsylvania. The data for all of the Protected Lands Inventory layers was collected from the 1998 PA GAP Analysis Program's Managed Lands data layer as well as from hard copy and digital data provided by land trusts and local governments. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Conservation Fund
2010	Aerial Photo Color 2003-2006 (cached mapservice) PAMAP Program Cycle 1/DVRPC 2005 Digital Orthoimagery High Resolution Orthoimage (2003 - 2006) - cached mapservice Metadata | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1996	Agricultural security areas Agricultural security areas from LLRWS data. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2012	Bear Harvest by County 2003 - 2017 Pennsylvania bear harvest by county boundary 2003 - 2010 Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2010	Biofuel Feedstock Potential in the Chesapeake Bay- Abandoned Cropland This dataset is intended to illustrate the potential for biofuel production in the Chesapeake Bay, in a manner that does not compete with current food or fiber production. This data was used in support of a Chesapeake Bay Commission report titled: "Chesapeake Biofuel Policies: Balancing Energy, Economy and Environment" published in 2010. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2010	Biofuel Feedstock Potential in the Chesapeake Bay- Current Cropland This layer shows potential land area for the production of biofuel feedstocks, such as winter barley, winter rye and switchgrass. Areas and corresponding crop production totals are aggregated by HUC6 boundaries for the Chesapeake Bay. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Bluff Crest shapefile for the Pennsylvania Lake Erie shoreline 2007 The goal of this project is to apply the latest in remote sensing technology to map the Lake Erie shoreline in Pennsylvania. Pennsylvania has 77 miles of Lake Erie shoreline contanined entirely within Erie County. Most of the shoreline consists of bluff geomorphologies ranging in height from 5 to 180 feet above the lake level. A bluff is a high bank or bold headland with a broad precipitous cliff face overlooking a lake or sea. Notable exceptions include the mouths of major tributaries and Presque Isle, adjacent to the City of Erie. Nearly all of the shoreline is designated as Bluff Recession Hazard Areas (BRHA) under the framework established in the Bluff Recession and Setback Act (the Act) and companion regulations in Pa. Code Title 25, Chapter 85. Municipalities having BRHAs designated within their jurisdictions are required to enact specific setback ordinances relating to construction and development activities occurring within the BRHAs.The bluff crest is the edge of the bluff. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Bluff Crest shapefile for the Pennsylvania Lake Erie shoreline 2012 The goal of this project is to apply the latest in remote sensing technology to map the Lake Erie shoreline in Pennsylvania. Pennsylvania has 77 miles of Lake Erie shoreline contanined entirely within Erie County. Most of the shoreline consists of bluff geomorphologies ranging in height from 5 to 180 feet above the lake level. A bluff is a high bank or bold headland with a broad precipitous cliff face overlooking a lake or sea. Notable exceptions include the mouths of major tributaries and Presque Isle, adjacent to the City of Erie. Nearly all of the shoreline is designated as Bluff Recession Hazard Areas (BRHA) under the framework established in the Bluff Recession and Setback Act (the Act) and companion regulations in Pa. Code Title 25, Chapter 85. Municipalities having BRHAs designated within their jurisdictions are required to enact specific setback ordinances relating to construction and development activities occurring within the BRHAs.The bluff crest is the edge of the bluff. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Bluff Crest shapefile for the Pennsylvania Lake Erie shoreline 2015 The goal of this project is to apply the latest in remote sensing technology to map the Lake Erie shoreline in Pennsylvania. Pennsylvania has 77 miles of Lake Erie shoreline contanined entirely within Erie County. Most of the shoreline consists of bluff geomorphologies ranging in height from 5 to 180 feet above the lake level. A bluff is a high bank or bold headland with a broad precipitous cliff face overlooking a lake or sea. Notable exceptions include the mouths of major tributaries and Presque Isle, adjacent to the City of Erie. Nearly all of the shoreline is designated as Bluff Recession Hazard Areas (BRHA) under the framework established in the Bluff Recession and Setback Act (the Act) and companion regulations in Pa. Code Title 25, Chapter 85. Municipalities having BRHAs designated within their jurisdictions are required to enact specific setback ordinances relating to construction and development activities occurring within the BRHAs.The bluff crest is the edge of the bluff. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Chesapeake Bay basin major watersheds Major watershed boundaries for the Chesapeake Bay basin. Metadata | Download | Preview | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Chesapeake Bay region state boundaries Boundaries for the states in the Chesapeake Bay region. Metadata | Download | More Options...	The Pennsylvania State University
2010	Deer Harvest by County 2003 Pennsylvania deer harvest by county boundary 2003 Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2012	Deer Harvest by Wildlife Management Units 2004 - 2017 Pennsylvania deer harvest by Wildlife Management Units 2004 - 2012 Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Erie PA Hydrology - Streams The Erie PA Hydrology mapping will consist of the following: 1. Island – land areas within rivers and water bodies. 2. Marsh_Swamp – marshes, swamps and areas of intermittent water. 3. River_Poly – double line streams that are wider than 8 feet wide. 4. Streams – single line stream less than 8 feet wide. 5. Waterbody – a quarter acre ponds larger than 200 sq. ft. within 200 feet. of the bluff line and half an acre beyond 200 feet. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Erie PA Watersheds - major subsheds The Erie PA Watershed mapping will consist of the following hydrological units i.e. watersheds and subwatersheds covering river systems draining large hydrologic unit regions, all attributed by a standard nomenclature. A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. This dataset has gone through extensive quality review process to ensure accuracy and compliance to the Federal Standard for Delineation of Hydrologic Unit Boundaries (http://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/watersheds/?cid=nrcs143_021630) Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Erie PA Watersheds - subsheds The Erie PA Watershed mapping will consist of the following hydrological units i.e. watersheds and subwatersheds covering river systems draining large hydrologic unit regions, all attributed by a standard nomenclature. A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. This dataset has gone through extensive quality review process to ensure accuracy and compliance to the Federal Standard for Delineation of Hydrologic Unit Boundaries (http://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/water/watersheds/?cid=nrcs143_021630) Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Floodplains of Pennsylvania In an effort to expedite the permit review process for Water Obstruction and Encroachment Applications, the Pennsylvania Department of Environmental Protection has initiated a plan to replace hard-copy maps with digital GIS sets. The project is referred to as the 105 Spatial Data System /8105SDS/9 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. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1985	Fractional Vegetation Cover for Northeast Pennsylvania, 1985 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Fractional Vegetation Cover for Northeast Pennsylvania, 2000 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. Most of the imagery were acquired in 2001. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Fractional Vegetation Cover for Northwest Pennsylvania, 1985 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Fractional Vegetation Cover for Northwest Pennsylvania, 2000 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. Most of the imagery were acquired in 2001. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Fractional Vegetation Cover for Southeast Pennsylvania, 1985 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Fractional Vegetation Cover for Southeast Pennsylvania, 2000 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. Most of the imagery were acquired in 2001. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Fractional Vegetation Cover for Southwest Pennsylvania, 1985 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Fractional Vegetation Cover for Southwest Pennsylvania, 2000 Fractional vegetation cover for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. Values range from 0 to 100, use of integer rather than decimal values reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. Most of the imagery were acquired in 2001. The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Impervious surface area for Northeast Pennsylvania, 1985 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Impervious surface area for Northeast Pennsylvania, 2000 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Impervious surface area for Northwest Pennsylvania, 1985 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Impervious surface area for Northwest Pennsylvania, 2000 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Impervious surface area for Southeast Pennsylvania, 1985 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Impervious surface area for Southeast Pennsylvania, 2000 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2000	Impervious surface area for Southwest Pennsylvania Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1999 to 2002, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1985	Impervious surface area for Southwest Pennsylvania, 1985 Impervious surface area for Pennsylvania was estimated from Thematic Mapper data using algorithms developed by Dr. Toby Carlson. The Value attribute indicates percentage of the 25 meter grid cell that is impervious and range from 0 to 100 and use integer rather than decimal values for reduced storage volume. Date of the imagery ranged from 1985 to 1987, availability depended on extent of cloud cover at time of acquisition. All images were collected for the late Spring or Summer months (May-August). The Pennsylvania Department of Transportation supported the construction of the impervious surface data, with technical assistance from Eric Warner and Deborah Slawson. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed - Erie PA, Impervious Surfaces Mapping Impervious surfaces data is used for modelling the sources and amount run-off into Lake Erie. Woolpert's automated land cover feature extraction processes was used to perform impervious surface delineation. Woolpert utilized commercial off-the-shelf (COTS) remote sensing software, proprietary software and applications to perform automated feature analysis incorporating imagery, LiDAR and other ancillary vector data. The automated processes replace the need to manually digitize features. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed 2012 Lidar - 16 bit 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery/LiDAR Project - In the fall of 2012, Woolpert obtained new aerial LiDAR covering the entire project area (512 square miles). The aerial LiDAR was acquired at a point density average of 1-meter with final products comprised of LAS (ground and above ground points). The aerial LiDAR was collected during leaf-off conditions during the fall 2012 flying season (November). The LiDAR is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles (which matches the ortho tiling system). Adjacent flight lines overlap by an average of 30 percent. LiDAR was collected with Leica ALS LiDAR Systems. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Each LiDAR file is approximately 40 megabytes in size. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. The LiDAR data will be utilized for the rectification of aerial imagery to produce 1”=100’ scale ortho-imagery with a 6-inch pixel resolution. The LiDAR data will also be used as a component during the future delineation of project area wide impervious surfaces (using remote sensing techniques). Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed 2012 Lidar - 32 bit 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery/LiDAR Project - In the fall of 2012, Woolpert obtained new aerial LiDAR covering the entire project area (512 square miles). The aerial LiDAR was acquired at a point density average of 1-meter with final products comprised of LAS (ground and above ground points). The aerial LiDAR was collected during leaf-off conditions during the fall 2012 flying season (November). The LiDAR is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles (which matches the ortho tiling system). Adjacent flight lines overlap by an average of 30 percent. LiDAR was collected with Leica ALS LiDAR Systems. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Each LiDAR file is approximately 40 megabytes in size. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. The LiDAR data will be utilized for the rectification of aerial imagery to produce 1”=100’ scale ortho-imagery with a 6-inch pixel resolution. The LiDAR data will also be used as a component during the future delineation of project area wide impervious surfaces (using remote sensing techniques). Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed 2012 Orthoimagery - CIR 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery Project - In the fall of 2012, Woolpert obtained new aerial Orthoimagery covering the entire project area (512 square miles). The aerial Orthoimagery was collected during leaf-off conditions during the fall 2012 flying season (November) at 1"=100' scale with a 6-inch pixel resolution. The Orthoimagery is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed 2012 Orthoimagery - RGB 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery Project - In the fall of 2012, Woolpert obtained new aerial Orthoimagery covering the entire project area (512 square miles). The aerial Orthoimagery was collected during leaf-off conditions during the fall 2012 flying season (November) at 1"=100' scale with a 6-inch pixel resolution. The Orthoimagery is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed 2015 Orthoimagery - CIR Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed 2015 Orthoimagery - RGB Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed Imagery 2012 - Tile Index TILE INDEX - 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery Project - In the fall of 2012, Woolpert obtained new aerial Orthoimagery covering the entire project area (512 square miles). The aerial Orthoimagery was collected during leaf-off conditions during the fall 2012 flying season (November) at 1"=100' scale with a 6-inch pixel resolution. The Orthoimagery is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed Imagery 2015 - Tile Index Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed LiDAR 2015 - DEM Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed LiDAR 2015 - hydro breaklines Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed LiDAR 2015 - intensity images Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Lake Erie Watershed LiDAR 2015 - las Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project will consist the following: • New project – wide 1”=100’ scale color digital orthoimagery (with a 6-inch pixel resolution) • New project wide 0.7-meter LiDAR (average point density) • New project wide hydrology • Crest Delineation This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. To better understand one of the state’s most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. - See more at: http://www.xyht.com/aerialuas/heights-april-2017-mapping-the-pennsylvania-lake-erie-watershed/#sthash.n3pVphR6.dpuf Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2012	Lake Erie Watershed Lidar LAS 2012 - Tile Index TILE INDEX - 2012 Lake Erie Drainage Area (Erie, PA) Digital Orthoimagery Project - In the fall of 2012, Woolpert obtained new aerial Orthoimagery covering the entire project area (512 square miles). The aerial Orthoimagery was collected during leaf-off conditions during the fall 2012 flying season (November) at 1"=100' scale with a 6-inch pixel resolution. The Orthoimagery is being delivered as a project area wide dataset, consisting of 2,500' x 2,500' tiles. The file naming convention is as follows: xxxyyy (Pennsylvania North Zone); Please note that xxx and yyy represent the easting and northing coordinates (respectively) in state plane feet. Ownership of the data products resides with Penn State and the Pennsylvania Department of Environmental Protection. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1996	Landmarks in Pennsylvania National Park Service information used to establish landmark boundaries on 1:24,000 USGS topographic maps. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	National Fish Hatcheries in Pennsylvania Boundaries of fish hatcheries on 1:24,000 USGS topographic maps, locations verified from the National Park Service list. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	National forests in Pennsylvania Boundary information from the office of the Allegheny National Forest, taken from 1:24,000 USGS topographic maps Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	National parks in Pennsylvania National Park Service list and boundaries from 1:24,000 USGS topographic maps. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	National Wildlife Preserves in Pennsylvania Boundaries of National Wildlife Preserves in Pennsylvania. Boundaries were provided by the United States Department of the Interior, National Fish and Wildlife Service. Boundaries were digitized from delineations on 1:24,000 USGS topographic maps. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1998	Networked streams of Pennsylvania The connected network of streams and waterways of Pennsylvania are indicated as single lines in this coverage. Waterways are given connected topology to show the direction of flow from the headwaters of the stream through the watershed to the extent of the coverage. With ARC Network data can be used for watershed modelling Metadata | Download | Preview | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1998	PA Explorer: Terrabyte Image The Terrabyte images are extractives from Landsat Thematic Mapper images through the SpectraPlex process. This process does not permit the full restoration of the original scene. The SpectraPlex process takes multiple bands of original image data and compresses them to 255 cluster units using isodata as a cluster mechanism. The result of the process is an image layer of cluster numbers with an accompanying table of band means by cluster number. Color rendition: the shade set is LANDSCOP Portrayal (landscape directed spectral composite portrayal). Total of the visible bands is blue, total of the infrared bands is green, total of all bands modified to help distinguish conifers is red. The images have been converted to ArcInfo Grid coverages, exported and transferred to compact disk. The original SpectraPlex images are approximately 54 megabytes and extend over the Pennsylvania borders. The images on the Terrabyte Images cd-rom have been clipped to the borders of Pennsylvania and cut by county in Pennsylvania. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Buildings Buildings polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Parking Parking lot polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Parking Stripes This line feature class depicts painted lines in parking lots. The lines can be representative of parking spaces and they can also be used to define no parking zones. They were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Roads major Major named road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Roads minor Minor access road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Roads unpaved Gravel, dirt and other minor unpaved road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Altoona - Sidewalks The polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. The sidewalks are classified by material (Pavers, Concrete, Bituminous). Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Buildings Buildings polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Parking Parking lot polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Parking Stripes This line feature class depicts painted lines in parking lots. The lines can be representative of parking spaces and they can also be used to define no parking zones. They were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Roads major Major named road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Roads minor Minor access road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Roads unpaved Gravel, dirt and other minor unpaved road polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State Erie (Behrend) - Sidewalks This polygon feature class represents sidewalks. The sidewalks are classified by material (Pavers, Concrete, Bituminous). The polygons were originally created in 2014 using planimetric mapping based on 0.25 ft pixel aerial imagery. They are updated as necessary from as-built drawings resulting from new construction. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Buildings Buildings polygons were originally created in 1998 using planimetric mapping. Roof outlines are depicted as if they were on the ground. In 2004 Building CAD files were converted to GIS polygons.Buildings contain the following essential attributes:BLDG_NUM - Building NumberBLDG_NAME - Building Name Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Campus Boundary Boundaries of Penn State owned properties Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Crosswalks (line) Croswalks (line) on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Crosswalks (polygon) Croswalks (polygon) on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2020	Penn State University Park - Improvement Other than Building Improvement Other than Building Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Major Roads Major Roads on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2020	Penn State University Park - Minor Roads Minor Roads on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Parking Spot Stripes This line feature class represents painted lines in University Park parking lots. The lines can be representative of parking spaces and they can also be used to define no parking zones. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Parking Spots Parking spot locations on Penn State University Park campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Paved Areas This polygon feature class represents paved areas (miscellaneous) on Penn State Campus - University Park. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2020	Penn State University Park - Planting Beds Planting beds on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2019	Penn State University Park - Recreation (polygon) Recreation areas on the Penn State campus. includes Baseball, Basketball, Field Hockey, Football, Golf, Intramural, Soccer, Tennis, Track, Volleyball Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Recreation Areas (line) Recreation areas on the Penn State campus. includes Baseball, Basketball, Field Hockey, Football, Golf, Intramural, Soccer, Tennis, Track, Volleyball Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Sidewalks Sidewalks at University Park Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2020	Penn State University Park - Unpaved Roads Unpaved Roads on the Penn State campus Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2021	Penn State University Park - Walls This polygon feature class represents walls on Penn State Campus - University Park Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2017	Penn State University Park Campus Imagery - SID Mosaics 2017 Penn State Campus Imagery (caputured in 2017) includes Agricultural Research Center at Rock Springs Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2016	Penn State University Park Campus Imagery - High Level Tile Index Penn State Campus Imagery High Level Tile Index Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2016	Penn State University Park Campus Imagery - Low Level Tile Index Penn State Campus Imagery Low Level Tile Index Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2014	Penn State University Park Campus Imagery 2012 Penn State Campus Imagery (caputured in 2012) Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2015	Penn State University Park Campus Imagery 2015 Penn State Campus Imagery (caputured in 2015) includes Stone Valley Recreation Area Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Penn State University Park Campus Imagery 2017 Penn State Campus Imagery (caputured in 2017) includes Agricultural Research Center at Rock Springs Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2019	Penn State University Park Campus Imagery 2019 Penn State Campus Imagery (caputured in 2019) Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2022	Penn State University Park Campus Imagery 2022 Penn State Campus Imagery (caputured in 2022) Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2016	Penn State University Park Campus LiDAR - DEM LiDAR and related products for the Penn State University Park Campus 2015. In April of 2015 Woolpert obtained new aerial LiDAR covering the entire project area (+/- 45 sq. miles). The aerial LiDAR was collected during leaf-off conditions at a point density average of 0.5-meter with products comprised of LAS (ground and above ground points) and DEM in IMG format (contains ground only points). The LiDAR is delivered using 1,250’ x 1,250' tiles (matches the ortho tiling system). Adjacent flight lines overlap by an average of 25 percent. LiDAR was collected with a Leica ALS70 LiDAR System. The LiDAR data was produced in the Pennsylvania State Plane NAD83 (2011), NAVD 88 in units of Survey Foot. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Penn State University Park Campus LiDAR - DEM 2017 LiDAR and related products for the Penn State University Park Campus 2017 Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2017	Penn State University Park Campus LiDAR - las 2017 LiDAR and related products for the Penn State University Park Campus 2017 Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2019	Penn State University Park Campus LiDAR - las 2019 LiDAR and related products for the Penn State University Park Campus 2017 Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2022	Penn State University Park Campus LiDAR - las 2022 LAS files for the Penn State University Park Campus 2022 Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2016	Penn State University Park Campus LiDAR - tile Index LiDAR and related products for the Penn State University Park Campus 2015. In April of 2015 Woolpert obtained new aerial LiDAR covering the entire project area (+/- 45 sq. miles). The aerial LiDAR was collected during leaf-off conditions at a point density average of 0.5-meter with products comprised of LAS (ground and above ground points) and DEM in IMG format (contains ground only points). The LiDAR is delivered using 1,250’ x 1,250' tiles (matches the ortho tiling system). Adjacent flight lines overlap by an average of 25 percent. LiDAR was collected with a Leica ALS70 LiDAR System. The LiDAR data was produced in the Pennsylvania State Plane NAD83 (2011), NAVD 88 in units of Survey Foot. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1938 - 1980	PennPilot (Historical Aerial Photo Library) Penn Pilot, a project sponsored by the Pennsylvania Geological Survey, is an online library of digital historical aerial photography for the Commonwealth of Pennsylvania. Using the interactive map provided on this website, you can browse, view, and download thousands of photos covering the Commonwealth from 1937 to 1942 and 1967 to 1972. Metadata | Download | More Options...	The Pennsylvania State University
1998	Pennsylvania - 104 state water plan watersheds Digitized boundaries of 104 major watersheds defined in the Pennsylvania state water plan. The State Water Plan, originally developed in the 1970s, divided Pennsylvania's major river basins into 20 smaller units (subbasins) for planning purposes. Most of these subbasins are further divided into watershed areas (designated "A", "B", "C" etc.) that range in size from about 100 to 1000 square miles. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1997	Pennsylvania - small watersheds Boundaries of 9,895 watersheds in Pennsylvania indicated in the Pennsylvania gazetteer of streams. These boundaries enclose catchment areas for named streams officially recognized by the Board on Geographic Names and other unofficially named streams that flow through named hollows. ERRI extracted, reprojected and edgematched datasets for major watersheds produced by the Water Resources Division of the U.S. Geological Survey into this smallsheds coverage of the state of Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2003	Pennsylvania 3.75-minute quarter quadrangle boundary Index of USGS quarter-quadrangles (3.75 minute) covering Pennsylvania. The polygons are attributed with information pertaining to the USGS/PaGS Digital Orthophoto Quarter-Quad (DOQQ) imagery collection available for download through PASDA. Including dates of image acquisition for the complete NAPP II imagery collection (1993-1995) and imagery available as of April 2003 from the NAPP III collection (1999- ). Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania boundaries of exceptional value watersheds Watersheds of exceptional quality streams Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2004	Pennsylvania Breeding Bird Atlas 2 - Grid This Website provides an interface for PA Breeding Bird Atlas staff and volunteers to find survey blocks, enter their findings and view results. I developed the component with which users can view a map of a block and print a high-quality PDF map. To print a map, enter the site and click the "Register" link on the left side of the window. Then click the "View Regions & Blocks" link, select a block, click its "Block Map" tab and choose whether to print an air photo or a topo map. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2004	Pennsylvania Breeding Bird Atlas 2 - Regions This Website provides an interface for PA Breeding Bird Atlas staff and volunteers to find survey blocks, enter their findings and view results. I developed the component with which users can view a map of a block and print a high-quality PDF map. To print a map, enter the site and click the "Register" link on the left side of the window. Then click the "View Regions & Blocks" link, select a block, click its "Block Map" tab and choose whether to print an air photo or a topo map. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2004	Pennsylvania Breeding Bird Atlas 2 - Survey Points This Website provides an interface for PA Breeding Bird Atlas staff and volunteers to find survey blocks, enter their findings and view results. I developed the component with which users can view a map of a block and print a high-quality PDF map. To print a map, enter the site and click the "Register" link on the left side of the window. Then click the "View Regions & Blocks" link, select a block, click its "Block Map" tab and choose whether to print an air photo or a topo map. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania coal mined areas Location of mined areas, including surface and deep coal and non-coal mining. Data incomplete, areas not mapped when screened at small scales during low level radioactive waste siting analysis. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania coastal floodplains Coastal floodplains from LLRWS data. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania ecoregions Draft ecoregions from the EPA. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Avian habitat models -30meter This layer represents a potential habitat model for birds in Pennsylvania at 30 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Avian habitat models -90meter This layer represents a potential habitat model for birds in Pennsylvania at 90 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Fish habitat models -90meter This layer represents a potential habitat model for Fish in Pennsylvania at 90 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Herpetilie habitat models -30meter This layer represents a potential habitat model for Herpetilies in Pennsylvania at 30 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Herpetilie habitat models -90meter This layer represents a potential habitat model for Herpetilies in Pennsylvania at 90 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Mammal habitat models -30meter This layer represents a potential habitat model for Mammals in Pennsylvania at 30 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
2000	Pennsylvania Gap analysis program, Mammal habitat models -90meter This layer represents a potential habitat model for Mammals in Pennsylvania at 90 meter resolution. The model associates occurrence of suitable habitat with key environmental factors that can be mapped over the entire region. These key factors include vegetative land cover, presence of human activity, elevation, topographic position, wetland characteristics and stream size and proximity. Areas of potential species presence were tabulated based on current and historical information and a series of conditional statements proceeded using layers derived to depict the key factors on a landscape scale. Metadata | Download | More Options...	The Pennsylvania State University
1999	Pennsylvania GAP stewardship Coverage showing stewardship of managed conservation lands throughout the Commonwealth. Includes federal, state, county and privately owned lands including National and State Parks, Wildlife Refuges and Forests, county parks, and private conservancy lands Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania inactive railroads Location of inactive rail lines in Pennsylvania, digitized from 1:24,000 USGS topographic maps on a stable Mylar base. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2000	Pennsylvania Land Cover, 2000 PALULC2000 is a statewide land cover map generated from Enhanced Thematic Mapper satellite data and three other ancillary data sources. It is an update to the MRLC data layer produced for the state in 1992. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
1996	Pennsylvania major rivers Major rivers as derived from Pennsylvania Dept. of Transportation's streams database, which is organized by county. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania oil and gas fields Point locations of oil and gas fields from Pennsylvania Department of Environmental Resources, Bureau of Topographic and Geologic Survey /8PAGS/9 Well Completion Maps /81:24,000 scale/9 and PAGS and Pennsylvania Department of Environmental Protection Bureau of Mines well field data. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania oil and gas wells Point locations of oil and gas wells from Pennsylvania Department of Environmental Resources, Bureau of Topographic and Geologic Survey /8PAGS/9 Well Completion Maps /81:24,000 scale/9 and PAGS and Pennsylvania Department of Environmental Protection Bureau of Mines well field data. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	Pennsylvania Public Schools in abandoned coal mine counties This data-set contains public schools only for those counties that have abandoned coal mines. This data-set portrays the approximate location of Public Schools (Regular Elementary, Regular Elementary/Secondary, Occupational CTC, Special Education, Regular Secondary, Comprehensive CTC, Adult CTC, State Operated Educational Facility). The data set was created by first obtaining the street address of each school from the Pennsylvania Departmet of Education (www.edna.ed.state.pa.us). Addresses were then geocoded using ArcMap. Aerial photography was used to assist in the groundtruthing of the points. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Pennsylvania scenic rivers State designated scenic rivers. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	PSU Forestland Management Office - Gates Point shapefiles of road/trail gates maintained by the PSU Forestland Mgmt. Office. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	PSU Forestland Management Office - Roads Line shapefile of the roads constructed and maintained by the PSU Forestland Mgmt. Office located within PSU owned forestland. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	PSU Forestland Management Office - Streams Line shapefile that is an enhanced version of the hydrology for Huntingdon County, PA. Enhancements are small springs and intermittent runs within the PSU Stone Valley Forest. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	PSU Forestland Management Office - Trails Line shapefile of the Trails constructed and maintained by the PSU Forestland Mgmt. Office located within PSU owned forestland. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2020	PSU SVF Lidar Hyperspectral Imagery Orthoimagery Project Lidar, Hyperspectral Imagery, Orthoimagery for The Pennsylvania State University Stone Valley Experimental Forest. Metadata | Download | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed 30-meter digital elevation model 30-meter contours, digital elevation model for the geographic area coverage of the Spring Creek Watershed Metadata | Download | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed 7.5 minute quadrangle coverage File shows those United States Geological Survey 7.5-minute quadrangles which overlay the geographic extent of the watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed basin area Basin area of the Spring Creek Watershed. Includes subbasins for all tributaries within the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed boundaries Geographic boundaries of the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed buffer boundaries Shows 1 km. buffer zone bounding the perimeter of the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed minor civil divisions Shows minor civil divisions located in the Spring Creek Watershed Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed PCB and other pollution data Shows sources and locations of Polychlorinated biphenyls (PCBs) and trichloroethylene pollutants in the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed roads Roads and road network located in the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed soils Soil types located in the Spring Creek Watershed. Taken from the Centre County soils classification. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed STATSGO soil coverage STATSGO, state-wide soil coverage for areas within the Spring Creek Watershed. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed streams Streams within the Spring Creek Watershed Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
1996	Spring Creek Watershed wetlands Shows wetlands within the Spring Creek Watershed. Wetlands Classification reference numbers: RZUBH U PUBHn Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2009	Stone Valley Forest Boundary The most accurate polygon boundary of the PSU SFR Stone Valley Forest. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2010	Stone Valley Forest Map - Purple Lizard 2010 The PSU Forestland Mgmt. Office contracted Purple Lizard Publishing to create this basemap. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2023	Stone Valley Forest Map - Purple Lizard 2023 The PSU Forestland Mgmt. Office contracted Purple Lizard Publishing to create this basemap. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2009	Stone Valley Recreation Area - Trails Line shapefile of the rtrails constructed and maintained by the PSU Forestland Mgmt. Office located within Stone Valley Recreation Area Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2010	Turkey Harvest by Wildlife Management Units 2003 - 2009 Pennsylvania turkey harvest by Wildlife Management Units 2003 - 2009 Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2012	Unpaved Roads of Pennsylvania This data set includes unpaved road locations for Pennsylvania. - fields include length of road. Forestry roads not included. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	The Pennsylvania State University
2022	Philadelphia 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2014	Forest Patch Classification, Delaware River Basin, Northern Section, 2010-2011 High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in 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 minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. 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. Metadata | Download | More Options...	University of Vermont Spatial Analysis Laboratory
2014	Forest Type Classification, 2010-2011, Delaware River Basin, Northern Section High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in 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 minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. 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. Metadata | Download | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - Delaware High-resolution land cover dataset for the Commonwealth of Pennsylvania. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over RoadsThe complete class definitions and standards can be viewed at the link below.http://goo.gl/THacggThe primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected.This dataset was developed to support land-cover mapping and modeling initiatives in the Chesapeake Bay Watershed and Delaware River Basin. At the time of its publication, it represented the most accurate and detailed land cover map for the Pennsylvania portion of the Chesapeake Bay Watershed Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - Baywide Dataset High-resolution land cover dataset for the Chesapeke Bay Watershed. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - Maryland High-resolution land cover dataset for the Chesapeke Bay Watershed. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - New York High-resolution land cover dataset for the Chesapeke Bay Watershed. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - Washington, D.C. High-resolution land cover dataset for the Chesapeke Bay Watershed. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Chesapeake Bay Watershed - West Virgina High-resolution land cover dataset for the Chesapeke Bay Watershed. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Delaware River Basin High-resolution land cover dataset for the Delaware River Basin. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over Roads. The complete class definitions and standards can be viewed at the link below.http://goo.gl/THacgg. The primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover Delaware River Basin - Clipped to Counties Clipped to Counties - Mapping Area polygon - High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in 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 minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. 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. Metadata | Download | More Options...	University of Vermont Spatial Analysis Laboratory
2016	High-Resolution Land Cover, Commonwealth of Pennsylvania, Chesapeake Bay Watershed and Delaware River Basin, 2013 High-resolution land cover dataset for the Commonwealth of Pennsylvania. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Impervious Surfaces12 - Tree Canopy over RoadsThe complete class definitions and standards can be viewed at the link below.http://goo.gl/THacggThe primary sources used to derive this land-cover layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, and 2013 leaf-on orthoimagery. Ancillary data sources such as LiDAR-derived breaklines for roads and hydrology were used to augment the land-cover mapping. This land-cover dataset is considered current based on data of acquisition for the leaf-on orthoimagery. Land-cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected.This dataset was developed to support land-cover mapping and modeling initiatives in the Chesapeake Bay Watershed and Delaware River Basin. At the time of its publication, it represented the most accurate and detailed land cover map for the Pennsylvania portion of the Chesapeake Bay Watershed Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2008	Landcover - The Abingtons, Pennsylvania High resolution land cover dataset for The Abingtons (five miles north of the City of Scranton, 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 2009 imagery and LiDAR. Ancillary data sources included planimetric GIS data provided. This land cover dataset is considered current as of summer 2009. 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 30,000 corrections were made to the classification. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2007	Landcover - Baltimore County/metro area, Maryland High resolution land cover dataset for Baltimore County/metro area, MD. 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 2009 imagery and LiDAR. Ancillary data sources included planimetric GIS data provided. This land cover dataset is considered current as of summer 2009. 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 30,000 corrections were made to the classification. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2010	Landcover - Delaware River Basin NY and PA High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in 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 minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. 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. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2010	Landcover - Lancaster County, Pennsylvania High resolution land cover dataset for Lancaster County, 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 2009 imagery and LiDAR. Ancillary data sources included planimetric GIS data provided. This land cover dataset is considered current as of summer 2009. 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 30,000 corrections were made to the classification. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2011	Landcover - Prince Georges County, Maryland High resolution land cover dataset for Prince Georges County. 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 0.5 ft square . The primary sources used to derive this land cover layer were 2009 LiDAR and 2009 Color Infrared Imagery (3 band). Ancillary data sources included GIS data (building footprints, impervious surfaces, roads, railroads, water) provided by M-NCPPC. This land cover dataset is considered current as of 2009. 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 26497 corrections were made to the classification. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2006	Landcover - State College, Pennsylvania High resolution land cover dataset for State College, 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 2009 imagery and LiDAR. Ancillary data sources included planimetric GIS data provided. This land cover dataset is considered current as of summer 2009. 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 30,000 corrections were made to the classification. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2014	Landcover - State of Delaware High-resolution land cover dataset for the State of Delaware. Twelve land cover classes were mapped:0 - Background1 - Water2 - Emergent Wetlands3 - Tree Canopy4 - Scrub/Shrub5 - Low Vegetation6 - Barren7 - Structures8 - Other Impervious Surfaces9 - Roads10 - Tree Canopy over Structures11 - Tree Canopy over Other Paved Surfaces12 - Tree Canopy over RoadsThe complete class definitions and standards can be viewed at the link below.https://docs.google.com/presentation/d/1lgOyFO0lCBl8skDGDZusthLNRVBwQs6b5nrAi05EohY/edit?usp=sharingThe primary sources used to derive this land cover layer were 2014 leaf-off LiDAR data, 2012 leaf-off imagery, and 2013 leaf-on imagery. Ancillary data sources such as roads centerlines, hydrology polygons, and parcel boundaries were obtained for the State of Delaware and used to augment the land cover mapping. This land cover dataset is considered current based on the LiDAR date of acquisition. Land cover class assignment was accomplished using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) 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 1:3000 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2013	Landcover - Tree Canopy Change, Washington DC, 2006 - 2011 Change in the District of Columbia’s tree canopy estimated from 2011 leaf-on imagery and 2006 leaf-on imagery in conjunction with 2008 leaf-off LiDAR. This layer consists of three classes of tree canopy: 1) no change, 2) loss, and 3) gain. No change indicates that the tree canopy has not changed substantially from 2006 to 2011. Loss indicates that tree canopy was removed from 2006 to 2011. Gain indicates that new tree canopy was established between 2006 and 2011.The method for producing this layer was based on the object fate analysis technique developed by Schopfer and Lang. The principal goal was to insure that estimates of tree canopy change were due to actual change and not due to differences in the 2006 and 2011 imagery. As such tree canopy mapping was done at the individual tree level. A combination of automated and manual techniques were employed using 2006 Quickbird imagery, 2008 LiDAR, and 2011 National Agricultural Imagery Program (NAIP) data. Extensive quality assurance and quality control methods were employed. This dataset has been independently reviewed by two separate organizations. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2015	Pennsylvania Statewide High-Resolution Tree Canopy This dataset maps tree canopy for the entirety of Pennsylvania at a resolution of 1m, making it 900 times more detailed than the National Land Cover Dataset (NLCD)! With our landscapes becoming increasingly fragmented and heterogeneous high-resolution datasets add precision and accuracy to any analysis. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2004	Aquatic Community Classification Project Aquatic Community Classification Project, prepared by the Western Pennsylvania Conservancy Metadata | Download | More Options...	Western Pennsylvania Conservancy
2004	Aquatic Mollusk sampling points Plummers Island September sampling points for aquatic mollusks around Plummers Island, Montgomery Co., MD. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	Bioblitz zones for Erie Bluffs State Park This shapefile is representative of the five zones which Erie Bluffs State Park was split into for the Bioblitzes (24 hour inventory of all living things in the park) of May 14,15 2004 and July 16, 17 2004. These zones are split more or less by the different natural community types within the park. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
1993	Boundary of Conneaut Lake Boundary of Conneaut Lake, Crawford County, Pennsylvania. This polyline does not include the many docks that extend into the lake. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2005	County natural heritage inventories 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. The polygons in this layer represent two types of conservation areas. A Biological Diversity Area (BDA) is defined as an area containing plants or animals of special concern at state or federal levels, exemplary natural communities, or exceptional native diversity. BDAs include both the immediate habitat and surrounding lands important in the support of these special elements. A Landscape Conservation Area (LCA) is defined as an area a large contiguous area that is important because of its size, open space, habitats, and/or inclusion of one or more Biological Diversity Areas. Although an LCA includes a variety of land uses, it typically has not been heavily disturbed and thus retains much of its natural character. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	Easements Point locations of conservation easements held by Western Pennsylvania Conservancy. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	Historic projects Point locations representing Western Pennsylvania Conservancy's projects that have resulted in the transfer of land to another party. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2005	Licking Creek riparian zones This dataset shows the land covertypes within 100 meters of Licking Creek and its tributary, Big Cove Creek in Fulton County, Pa from the Franklin County Line to US 30 on Licking Creek and US 522 on Big Cove Creek. 2003 color aerial photography from the PA MAP Project were used to digitize the cover types. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	NHD Reach Pennsylvania A compilation of all medium resolution reach layers from National Hydrography Datasets in or adjacent to Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	Properties This layer contains polygons of Western Pennsylvania Conservancy's presently-owned properties. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2005	Snail Sampling points Plummers Island April 2004 freshwater snail sampling points around Plummer's Island, Montgomery County, Maryland. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2005	Tonoloway Creek riparian zones This dataset shows the land covertypes within 100 meters of Tonoloway Creek and Little Tonoloway Creek in Fulton County, Pa from the Maryland State Line to US 522 for Tonoloway Creek and Deneen Gap for Little Tonoloway Creek. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC 4th Order Streams All Streams of 4th order or greater in the region surrounding data in the Pennsylvania Aquatic Database (PAD) developed by the Pennsylvania Natural Heritage Program (PNHP). Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC 5th Order Streams All Streams of 5th order or greater in the region surrounding data in the Pennsylvania Aquatic Database (PAD) developed by the Pennsylvania Natural Heritage Program (PNHP). Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC aquatic sampling locations Point file outlining aquatic sampling locations (fish, chemistry and benthic macroinvertebrates) in the Ohio River Valley Water Sanitation Commission (ORSANCO) dataset. Locations limited to the Ohio, Monongahela, and Allegheny Rivers in Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC Drainage area polygons for each RF3 river reach Drainage area polygons for each RF3 river reach flowing in Pennsylvania. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC HUC12 (includes percentage land-use) 12 digit USGS hydrological unit code (HUC) watersheds within Pennsylvania. Includes percentage land-use information from the National Land Cover Dataset for each HUC 12, average slope for each HUC 12, and percent calcareous geology for each HUC 12. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC non-protected sites Final export of all aquatic sampling sites from the Pennsylvania Aquatic Database (PAD) at the completion of Phase I of the Pennsylvania Aquatic Community Classification project that had no datarelease restrictions (approximately 14% of all stations). This project was undertaken by the Pennsylvania Natural Heritage Program. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy
2004	WPC RF3 river reaches (includes percentage land-use) Drainage area polygons for each RF3 river reach flowing in Pennsylvania. Includes percentage land-use information from the National Land Cover Dataset for each river reach drainage area. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Western Pennsylvania Conservancy