Search Results

Date	Title	Provider
2015	Philadelphia Impervious Surfaces Planimetric Coverage containing the delineation of impervious surfaces for studying and calculating drainage runoff. This coverage shows surface features that are visible on the aerial photography, and is sometimes referred to as the landbase. Metadata | Download | Preview | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	City of Philadelphia
2008	Philadelphia Land Cover Raster 2008 High resolution land cover dataset for Philadelphia. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at ten square feet. The primary sources used to derive this land cover layer were 2008 Orthophotography and 2008 LiDAR LAS data. Ancillary data sources included GIS data (building footprints, road polygons, and hydrography) provided by City of Philadelphia. This land cover dataset is considered current as of 2008. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control. More than 30700 corrections were made to the classification. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	City of Philadelphia
2018	Philadelphia Land Cover Raster 2018 High resolution land cover dataset for Philadelphia,Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2018 LiDAR data and 2017 NAIP imagery. Ancillary data sources included GIS data provided by Philadelphia,Pennsylvania or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3500 and all observable errors were corrected. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	City of Philadelphia
2007	PAMAP Program - Hydrography (Line) This dataset consists of hydrography (streams, rivers) aggregated by the PAMAP Program from data supplied by various Pennsylvania county governments. Additional information is available at the PAMAP website: www.dcnr.state.pa.us/topogeo/pamap. Metadata | Download | More Options...	DCNR PAMAP Program
2007	PAMAP Program - Hydrography (Polygon) This dataset consists of hydrography (waterbodies) aggregated by the PAMAP Program from data supplied by various Pennsylvania county governments. Additional information is available at the PAMAP website: www.dcnr.state.pa.us/topogeo/pamap. Metadata | Download | More Options...	DCNR PAMAP Program
2004	Delaware River Basin boundary - polygon polygon boundary of the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Delaware River Basin Commission watershed boundaries - HUC 8 watershed boundaries for the Delaware River Basin at the HUC 8 level Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Delaware River Basin county boundaries - unclipped County boundaries that touch the Delaware River Basin, not clipped to the basin boundary Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Delaware River Basin creeks and rivers creeks and rivers clipped to the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Delaware River Basin Reservoirs Reservoirs located within the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Delaware River Basin watershed boundaries - HUC 11 watershed boundaries for the Delaware River Basin at the HUC 11 level Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Watershed boundaries for New York clipped to the Delaware River Basin Watershed boundaries for New York clipped to the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Watershed boundaries for Pennsylvania clipped to the Delaware River Basin Watershed boundaries for Pennsylvania clipped to the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2004	Watersheds for New Jersey clipped to the Delaware River Basin Watersheds for New Jersey coded to 14 digit Hydrologic Unit Codes (HUC) clipped to the Delaware River Basin Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Delaware River Basin Commission DRBC
2013	DFIRM Depth Grid:1% Annual Chance Flood Depth Grid for Luzerne County A 1% Annual Chance Flood Depth Grid represents the height of a 100 year flood surface elevation above ground or bottom of a stream channel measured in feet. The values are captured per cell of a defined area. The cell size for 1% Annual Chance Flood Depth Grids is variable. It is calculated by subtracting the height of the ground surface elevation from the surface height of the 1% annual chance flood. A Flood Depth Grid can assist a community in understanding, communicating, and relaying the variability and severity of flooding in a mapped floodplain. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	Federal Emergency Management Agency
2021	National Flood Hazard Layer - Schuylkill County The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Dataum of 1983 (NSRS-2007). Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Federal Emergency Management Agency
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
2016	Ability to Produce Clean and Abundant Water - version 2 In the original APCAW (v2) the Open Space Institute (OSI) sought to develop a metric to measure the relative capacity of small scale (HUC12) watersheds to produce clean surface and ground water. In 2014, two different HUC12-based metrics (i.e., “Ability to Produce Good Quality Surface Water” and “Ability to Produce Good Quality Ground Water”) were calculated and used by OSI to evaluate land protection projects. In 2015, OSI combined these two metrics into one metric that considers watershed conditions (e.g. land cover, terrain, and hydrology) and their effects on the abundance and quality of surface and ground water within a reasonably-sized watershed (i.e., HUC12 boundary). The revised index the APCAWv2 makes a number of changes to the original work, notably watershed boundaries are now based on the National Hydrography Dataset Plus version 2 Horizon Systems and EPA. The NHDplusv2 lateral drainage areas were originally defined by the USGS 1:100 k watershed boundaries. For more information on the spatial boundaries used in this analysis . Metadata | Download | More Options...	Open Space Institute
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
2023	Pennsylvania Local Parks The Local Park data layer is to be used to depict the approximate boundary of Local Parks. Metadata | Download | Preview | KMZ | Spreadsheet | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Conservation and Natural Resources
2011	DEP Regions Spatially displays the six regions of Pennsylvania Department of Environmental Protection Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Integrated List Attaining This layer shows only attaining segments of the Integrated List. The Streams Integrated List represents stream assessments in an integrated format for the Clean Water Act Section 305(b) reporting and Section 303(d) listing. Streams are bodies of flowing surface water that collectively form a network that drains a catchment or basin. PA DEP protects 4 stream water uses: aquatic life, fish consumption, potable water supply, and recreation. The 305(b) layers represents stream segments that have been evaluated for attainment of those uses. If a stream segment is not attaining any one of its 4 uses, it is considered impaired. · Aquatic Life use attainment - The integrity reflected in any component of the biological community. (i.e. fish or fish food organisms) · Fish Consumption use attainment - The risk posed to people by the consumption of aquatic organisms (ex. fish, shellfish, frogs, turtles, crayfish, etc.) · Recreational use attainment - The risk associated with human recreation activities in or on a water body. (i.e. exposure to bacteria and other disease causing organisms through water contact recreation like swimming or water skiing) · Potable Water Supply use attainment - The risk posed to people by the ingestion of drinking water Segments that have appeared on an approved Category 5 Integrated Listing are the entries labeled as approved. Integrated Lists are submitted for approval every other year. Segments entered subsequent to the latest approved Category 5 listing are labeled tentative. After appearing on an approved listing, the tentative entries move to approved. The Stream Integrated List is provided as two separate layers determined if the stream is attaining or not attaining its designated uses. DEP Streams Integrated List layer is maintained by the PADEP Office of Water Management, Bureau of Water Supply & Wastewater Management, Water Quality Assessment and Standards Division. The layer is based on the High Resolution National Hydrography Dataset (NHD). Additional update information is provided by Bureau of Watershed Management, Water Use Planning Division. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Integrated List Attaining Lakes This layer shows only attaining lakes of the Integrated List. The Lakes Integrated List represents lake assessments in an integrated format for the Clean Water Act Section 305(b) reporting and Section 303(d) listing. PA DEP protects 4 lake water uses: aquatic life, fish consumption, potable water supply, and recreation. The 305(b) layers represent lakes that have been evaluated for attainment of those uses. If a lake is not attaining any one of its 4 uses, it is considered impaired. Aquatic Life use attainment - The integrity reflected in any component of the biological community (i.e. fish or fish food organisms). Fish Consumption use attainment - The risk posed to people by the consumption of aquatic organisms (ex. fish, shellfish, frogs, turtles, crayfish, etc.). Recreational use attainment - The risk associated with human recreation activities in or on a water body (i.e. exposure to bacteria and other disease causing organisms through water contact recreation like swimming or water skiing). Potable Water Supply use attainment - The risk posed to people by the ingestion of drinking water. Lakes that have appeared on an approved Category 5 Integrated Listing are the entries labeled as approved. Integrated Lists are submitted for approval every other year. Lakes entered subsequent to the latest approved Category 5 listing are labeled tentative. After appearing on an approved listing, the tentative entries move to approved. The Lake Integrated List is provided as two separate layers determined if the lake is attaining or not attaining its designated uses. DEP Lakes Integrated List layers are maintained by the PADEP Office of Water Management, Bureau of Water Supply & Wastewater Management, Water Quality Assessment and Standards Division. The layer is based on the High Resolution National Hydrography Dataset (NHD). Additional update information is provided by Bureau of Watershed Management, Water Use Planning Division. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Integrated List Non Attaining This layer shows only non-attaining segments of the Integrated List. The Streams Integrated List represents stream assessments in an integrated format for the Clean Water Act Section 305(b) reporting and Section 303(d) listing. Streams are bodies of flowing surface water that collectively form a network that drains a catchment or basin. PA DEP protects 4 stream water uses: aquatic life, fish consumption, potable water supply, and recreation. The 305(b) layers represents stream segments that have been evaluated for attainment of those uses. If a stream segment is not attaining any one of its 4 uses, it is considered impaired. · Aquatic Life use attainment - The integrity reflected in any component of the biological community. (i.e. fish or fish food organisms) · Fish Consumption use attainment - The risk posed to people by the consumption of aquatic organisms (ex. fish, shellfish, frogs, turtles, crayfish, etc.) · Recreational use attainment - The risk associated with human recreation activities in or on a water body. (i.e. exposure to bacteria and other disease causing organisms through water contact recreation like swimming or water skiing) · Potable Water Supply use attainment - The risk posed to people by the ingestion of drinking water Segments that have appeared on an approved Category 5 Integrated Listing are the entries labeled as approved. Integrated Lists are submitted for approval every other year. Segments entered subsequent to the latest approved Category 5 listing are labeled tentative. After appearing on an approved listing, the tentative entries move to approved. The Stream Integrated List is provided as two separate layers determined if the stream is attaining or not attaining its designated uses. DEP Streams Integrated List layer is maintained by the PADEP Office of Water Management, Bureau of Water Supply & Wastewater Management, Water Quality Assessment and Standards Division. The layer is based on the High Resolution National Hydrography Dataset (NHD). Additional update information is provided by Bureau of Watershed Management, Water Use Planning Division. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Integrated List Non Attaining Lakes This layer shows only non attaining lakes of the Integrated List. The Lakes Integrated List represents lake assessments in an integrated format for the Clean Water Act Section 305(b) reporting and Section 303(d) listing. PA DEP protects 4 lake water uses: aquatic life, fish consumption, potable water supply, and recreation. The 305(b) layers represent lakes that have been evaluated for attainment of those uses. If a lake is not attaining any one of its 4 uses, it is considered impaired. Aquatic Life use attainment - The integrity reflected in any component of the biological community (i.e. fish or fish food organisms). Fish Consumption use attainment - The risk posed to people by the consumption of aquatic organisms (ex. fish, shellfish, frogs, turtles, crayfish, etc.). Recreational use attainment - The risk associated with human recreation activities in or on a water body (i.e. exposure to bacteria and other disease causing organisms through water contact recreation like swimming or water skiing). Potable Water Supply use attainment - The risk posed to people by the ingestion of drinking water. Lakes that have appeared on an approved Category 5 Integrated Listing are the entries labeled as approved. Integrated Lists are submitted for approval every other year. Lakes entered subsequent to the latest approved Category 5 listing are labeled tentative. After appearing on an approved listing, the tentative entries move to approved. The Lake Integrated List is provided as two separate layers determined if the lake is attaining or not attaining its designated uses. DEP Lakes Integrated List layers are maintained by the PADEP Office of Water Management, Bureau of Water Supply & Wastewater Management, Water Quality Assessment and Standards Division. The layer is based on the High Resolution National Hydrography Dataset (NHD). Additional update information is provided by Bureau of Watershed Management, Water Use Planning Division. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Oil Gas Locations - Conventional Unconventional The following data set contains all the Oil & Gas Wells in Pennsylvania that the Dept of Enviromental Protection has locational information on. The wells are broken into two formation types of conventional and unconventional wells. A conventional well is a bore hole drilled or being drilled for the purpose of or to be used for the production of oil or natureal gas from only conventional formation(s). A conventional formation is any formation that does not meet the statutory definition of an unconventional formation. An unconventional gas well is a bore hole drilled or being drilled for the purpose of or to be used for the production of natural gas from an unconventional formation. Unconventional formation is a geological shale formation existing below the base of the Elk Sandstone or its geologic equivalent stratigraphic interval where natural gas generally cannot be produced at economic flow rates or in economic volumes except by vertical or horizontal well bores stimulated by hydraulic fracture treatments or by using multilateral well bores or other techniques to expose more of the formation to the well bore. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Streams Chapter 93 Designated Use National Hydrography Dataset NHDFlowline layer with a spatial representation of designated water uses defined in Title 25 Environmental Protection, Department of Environmental Protection, Chapter 93, Water Quality Standards. The Pennsylvania Code just cited provides a list of all streams or watersheds (basins) in the state along with their associated designated water uses. This GIS layer displays these uses spatially on an interactive stream map. Public users can drill down to locations on the map to view and map the designated uses of the water bodies of interest. The layer can also be used in conjunction with other spatially referenced data for spatial analyses. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Streams Chapter 93 Existing Use National Hydrography Dataset NHDFlowline layer with spatial representation of existing water uses defined in Title 25 Environmental Protection, Department of Environmental Protection, Chapter 93, Water Quality Standards. The Pennsylvania Code just cited provides a definition for distinguishing between designated and existing use classification. This GIS layer displays these uses spatially on an interactive stream map. Public users can drill down to locations on the map to view and map the existing uses of the water bodies of interest. The layer can also be used in conjunction with other spatially referenced data for spatial analyses. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Total Maximum Daily Load (TMDL) The Clean Water Act Section 303(d) establishes the Total Maximum Daily Load (TMDL) program. The purpose of the TMDL program is to identify sources of pollution and allocate pollutant loads in places where water quality goals are not being achieved. This layer shows the list of waters for which technology-based or other required pollution controls are not stringent enough to meet water quality standards. The TMDLs themselves specify a pollutant budget that must be achieved to meet state water quality standards and allocates pollutant loads among pollution sources in a watershed, e.g., point and nonpoint sources. TMDLs can be developed for several categories such as: point sources (permitted sewage and industrial discharges); nonpoint sources (agriculture and urban runoff); lakes; abandoned mine drainage (also called acid mine drainage or AMD); specific bioaccumulative chemicals (PCBs and chlordane that contaminate fish, resulting in fish advisories limiting or banning the number of fish that a person can safely consume); and complex situations (combinations of different types). This layer is based on the High Resolution National Hydrography Dataset (NHD). The Lake TMDLs are not included in this layer. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Total Maximum Daily Load (TMDL) - Lakes The Clean Water Act Section 303(d) establishes the Total Maximum Daily Load (TMDL) program. The purpose of the TMDL program is to identify sources of pollution and allocate pollutant loads in places where water quality goals are not being achieved. This layer shows the list of waters for which technology-based or other required pollution controls are not stringent enough to meet water quality standards. The TMDLs themselves specify a pollutant budget that must be achieved to meet state water quality standards and allocates pollutant loads among pollution sources in a watershed, e.g., point and nonpoint sources. This layer represents lakes with TMDL associated with them. Lakes have characteristics that differentiate TMDLs from other waters. Lakes are not free-flowing like streams, but are contained waters that trap pollutants for long periods. Most lake impairments are from high nutrient or sediment loads. Wherever possible, lake TMDLs are developed with the information in the lake study reports that were sponsored by local watershed groups or other local interests. Target acceptable pollutant loads are set at the level of a watershed largely unaffected by human induced impacts. Load allocations are given to the pollutant sources using the same methods as nonpoint source TMDLs. Other indicators of water quality are also considered in the evaluation of a lake. One indicator is the Trophic Status Index (TSI), which refers to the degree of nutrient enrichment in the lake. Nutrient enrichment causes growths of algae that consume oxygen and interfere with the health of the aquatic organisms in the lake. The TSI is affected by factors such as lake volume, water residence time and nutrient loads to the lake. After target loads are set, the TSI is evaluated under reduced nutrient load conditions to assure that the pollutant reductions will bring the TSI into an acceptable range. Implementation of lake TMDLs is best accomplished though local participation. This layer is based on the High Resolution National Hydrography Dataset (NHD). Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Department of Environmental Protection
2023	Class A Wild Trout Streams Class A streams are streams that support a population of wild (natural reproduction) trout of sufficient size and abundance to support a long-term and rewarding sport fishery. The Commission does not stock these streams. This GIS layer represents the sections of streams that are designated as such. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Fish and Boat Commission
2022	Stocked Trout Water Bodies (Polygons) Many streams, lakes, ponds, and reservoirs are officially classified as "approved trout waters." This means that these waters contain significant portions that are open to public fishing and are stocked with trout. The waters in this layer are flowing waters (not lakes) classified as "approved trout waters" and these are open to trout harvest during the "extended season" (see Commonwealth Inland Waters). Unlisted tributary streams (those not included in this list of "approved trout waters") are not open to harvest of trout during the "extended season." Only approved trout waters and all waters downstream of approved trout waters are open during this period. Spearing fish is not permitted in any of these waters at any time of the year. These waters are closed to all fishing (including taking of minnows) from March 1 to 8 a.m. on the opening day of the trout season. Some of these waters have been included in the Early Season Trout-Stocked Waters Program and are open from March 1 through March 31. A person shall be deemed to be fishing if he or she has in possession any fishing line, rod, or other device that can be used for fishing while on or in any water or on the banks within 25 feet of any water where fishing is prohibited. Check with the nearest Fish & Boat Commission office if there is any question about whether or not a water area is "approved." This layer is current through the new fishing regulations released December of 2009 for the 2010 fishing season. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Fish and Boat Commission
2023	Stocked Trout Waters (Flowing Waters) Many streams, lakes, ponds, and reservoirs are officially classified as "approved trout waters." This means that these waters contain significant portions that are open to public fishing and are stocked with trout. The waters in this layer are flowing waters (not lakes) classified as "approved trout waters" and these are open to trout harvest during the "extended season" (see Commonwealth Inland Waters). Unlisted tributary streams (those not included in this list of "approved trout waters") are not open to harvest of trout during the "extended season." Only approved trout waters and all waters downstream of approved trout waters are open during this period. Spearing fish is not permitted in any of these waters at any time of the year. These waters are closed to all fishing (including taking of minnows) from March 1 to 8 a.m. on the opening day of the trout season. Some of these waters have been included in the Early Season Trout-Stocked Waters Program and are open from March 1 through March 31. A person shall be deemed to be fishing if he or she has in possession any fishing line, rod, or other device that can be used for fishing while on or in any water or on the banks within 25 feet of any water where fishing is prohibited. Check with the nearest Fish & Boat Commission office if there is any question about whether or not a water area is "approved." This layer is current through the new fishing regulations released December of 2009 for the 2010 fishing season. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Fish and Boat Commission
2023	Stream Sections that Support Wild Trout Production This layer contains flowing waters from the Pennsylvania Fish and Boat Commission Fisheries Resource Database that support naturally reproducing populations of trout. A wild trout stream section is a biological designation that does not determine how it is managed, therefore, these streams may also be stocked with hatchery trout by the Commission. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Fish and Boat Commission
2019	Stream Sections that Support Wild Trout Production - With Tributaries This layer contains flowing waters in Pennsylvania that support naturally reproducing populations of trout WITH Tributaries that are NOT Commission Approved Wild Trout Waters. Attibute column named Wildtrouts will show if a polyline represents a Commission Approved Wild Trout with an entry of Listed or will have Tributary indicating water is a tributary to a wild trout water. A wild trout stream section is a biological designation that does not determine how it is managed, therefore, these streams may also be stocked with hatchery trout by the Commission. This GIS layer matches the list available on the PFBC web site (excluding Tributaries) at https://www.fishandboat.com/Fish/PennsylvaniaFishes/Trout/Documents/trout_repro.pdf. Also Interactive ArcGIS MAp at https://pfbc.maps.arcgis.com/apps/webappviewer/index.html?id=65a89f6592234019bdc5f095eaf5c6ac Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	Pennsylvania Fish and Boat Commission
2007	PAMAP Program Land Cover for Pennsylvania, 2005 The 2005 land cover for Pennsylvania was created through a mix of interpretation of remotely sensed data and use of ancillary data sources. The date actually is a mid-point as the remotely sensed and ancillary data are representative of the time period 2003-2007. The coding is based on the Anderson Land Use/Land Cover system, where the more descriptive detail in the category is reflected by a higher code value. Further the coding is hierarchical so that each group can be related to other codes within a general category. For example, in the Anderson system the general classification of forest is a 4, a deciduous forest is 41, and so on. For a description of the Anderson system see; http://landcover.usgs.gov/pdf/anderson.pdf This project was funded by The PA Department of Conservation and Natural Resources (DCNR) Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	The Pennsylvania State University
2022	Berks 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 nonsoil 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
2022	Bucks 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2022	Carbon 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 nonsoil 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
2022	Chester 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
2022	Delaware 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
2022	Lackawanna 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 nonsoil 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
2022	Lebanon 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2022	Lehigh 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 nonsoil 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
2022	Luzerne 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 nonsoil 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
2022	Monroe 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 nonsoil 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
2022	Montgomery 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
2022	Northampton 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 nonsoil 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
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
2022	Pike 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2022	Schuylkill 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2022	Wayne 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. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Department of Agriculture
2009	National Wetlands Inventory for Delaware This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. Metadata | Download | Preview | KMZ | Spreadsheet | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Fish and Wildlife Service
2009	National Wetlands Inventory for New Jersey This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Fish and Wildlife Service
2009	National Wetlands Inventory for New York This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Fish and Wildlife Service
2017	National Wetlands Inventory for Pennsylvania This data set represents the extent, status, and location of National Wetland Inventory wetland mapping projects for NWI Version 2, Surface Waters and Wetlands. Each project polygon contains information on the type and date of imagery used to map the wetlands and a link to a document about specific mapping techniques and habitat information for that project. Some polygons have been updated in 2017 others not for quite some time. The user need to check the date of each wetland polygon for update years. This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. Metadata | Download | Preview | KMZ | GeoJSON | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Fish and Wildlife Service
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040104 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040101 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040102 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040103 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040106 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
2017	Digital Elevation Model (DEM) derived first- and second-order catchments for HUC 02040203 A breakthrough in water resources management occurred in 1961 when President Kennedy and the governors of Delaware, New Jersey, Pennsylvania, and New York for the first time signed concurrent compact legislation into law creating a regional body with the force of law to oversee a unified approach to managing a river system without regard to political boundaries. The members of this regional body - the Delaware River Basin Commission (DRBC) - include the four basin state governors and the Division Engineer, North Atlantic Division, U.S. Army Corps of Engineers, who serves as the federal representative. Commission programs include water quality protection, water supply allocation, regulatory review (permitting), water conservation initiatives, watershed planning, drought management, flood loss reduction, and recreation. Much of the new drilling interest taking place in northeastern Pennsylvania and southern New York is targeted at reaching the natural gas found in the Marcellus Shale formation, which underlies about 36 percent of the Delaware River Basin. Because the Marcellus Shale is considered a tight geologic formation, natural gas deposits were not previously thought to be practically and economically mineable using traditional techniques. New horizontal drilling and extraction methods, coupled with higher energy costs, have given energy companies reason to take a new interest in mining the natural gas deposits within the Marcellus Shale. In connection with natural gas drilling, the commission has identified three major areas of concern: 1.Gas drilling projects in the Marcellus Shale or other formations may have a substantial effect on the water resources of the basin by reducing the flow in streams and/or aquifers used to supply the significant amounts of fresh water needed in the natural gas mining process. 2.On-site drilling operations may potentially add, discharge or cause the release of pollutants into the ground water or surface water. 3.The recovered "frac water" must be treated and disposed of properly. DRBC is identifying methods, geospatial data, and other information to support decision making on how best to oversee the Marcellus Shale drilling in the Delaware River Basin (DRB). Metadata | Download | Preview | KMZ | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	U S Geological Survey
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 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
2018	High-Resolution Land Cover, Commonwealth of Pennsylvania, Statewide, 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 Commonwealth of Pennsylvannia. At the time of its publication, it represented the most accurate and detailed land cover map for the state. Metadata | Download | Preview | KMZ | Add to ArcMap: Image | More Options...	University of Vermont Spatial Analysis Laboratory
2017	High-Resolution Land Cover, State of New Jersey, Delaware River Basin, 2013 High-resolution land cover dataset for the State of New Jersey, 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 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 2013 leaf-on orthoimagery, 2015 leaf-off orthoimagery, and leaf-off LiDAR acquired across a series of dates during the period 2006-2015. Ancillary data sources such as road centerlines 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 Delaware River Basin. At the time of its publication, it represented the most accurate and detailed land cover map for the New Jersey portion of the Delaware River Basin. 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
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	Modeled Primary Wetlands, Commonwealth of Pennsylvania, Statewide, 2013 This dataset was developed to support land-cover mapping and modeling initiatives in the Commonwealth of Pennsylvania. High-resolution wetlands dataset for Pennsylvlania. Primary wetlands classes were mapped, plus water:EmergentScrub\ShrubForestedWaterThe primary sources used to derive this modeled wetlands layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, 2013 high-resolution land-cover data, and moderate-resolution predictive wetlands maps incorporating topography, hydrological flow potential, and climate data. This dataset is considered current based on the 2013 land-cover map.Wetlands classes were mapped 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. Using this technique, 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 used to ensure that the end product was both accurate and cartographically coherent.This dataset was developed to support land-cover mapping and modeling initiatives in Pennsylvania. Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | More Options...	University of Vermont Spatial Analysis Laboratory
2013	Modeled Restorable Wetlands, Commonwealth of Pennsylvania, Statewide, 2013 This dataset was developed to support land-cover mapping and modeling initiatives in the Commonwealth of Pennsylvania. High-resolution dataset depicting restorable wetlands in Pennsylvania. It includes agricultural fields that have topographic, hydrological flow, and climate characteristics indicative of wetlands. Theoretically, these features could be restored as wetlands if different land uses were practiced at each site.The primary sources used to derive this restorable wetlands layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, 2013 high-resolution land-cover data, and moderate-resolution predictive wetlands maps incorporating topography, hydrological flow potential, and climate data. This dataset is considered current based on the 2013 land-cover map.Restorable wetlands were mapped 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 land-cover boundaries imposed by the 2013 land-cover map. Using this technique, 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 ensure that the end product was both accurate and cartographically coherent.This dataset was developed to support land-cover mapping and modeling initiatives in Pennsylvania.This vector version was derived from the original 1-meter raster layer. Metadata | Download | Preview | Add to ArcMap: Image or Feature | Add to ArcGIS Pro | 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
2023	Delaware River Basin Protected Lands - Cluster An ambitious effort is underway to protect and restore the Delaware River Basin’s water quality and overall ecological health. Kick-started by a $35 million commitment by the William Penn Foundation, the Delaware River Watershed Initiative (DRWI) is targeting eight “clusters” within the basin for conservation investment. More than 50 leading nonprofits have joined together, aligning priorities for land protection and restoration projects and assessing water quality impacts using standardized methods. Partners are focusing on reducing agricultural runoff and urban stormwater in areas of lesser water quality, and they are protecting headwaters, forests, and groundwater reserves where water quality is high. Metadata | Download | Preview | Add to ArcMap: Image | More Options...	WeConservePA