| Date | Title | Provider |
| 2016 |
PhillyRising’s 19 active neighborhoods as of FY15. These areas were identified in partnership with the Police Department for their high rates of violent crime and quality of life issues, including poverty. PhillyRising strives to advance City services and community partnerships within these neighborhoods.
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| City of Philadelphia |
| 2016 |
The Choice Neighborhoods program is administered by the U.S. Department of Housing and Urban Development (HUD). It supports locally driven strategies to address struggling neighborhoods with distressed public or HUD-assisted housing through a comprehensive approach to neighborhood transformation.
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| City of Philadelphia |
| 2016 |
The points of parks owned and managed by Philadelphia Parks and Recreation. This layer was created to be used for the Philadelphia Parks and Recreation website.
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| City of Philadelphia |
| 2004 |
Planimetric Coverage containing the delineation of topographic contours at ten foot intervals. Annotation of Contour Line elevations exists. Annotation viewable at 1" = 200'. The city-wide contour download file is approximately 250 megabytes.
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| City of Philadelphia |
| 2004 |
Planimetric Coverage containing the delineation of topographic contours at two foot intervals. Annotation of Contour Line elevations exists. Annotation viewable at 1" = 200'. The city-wide contour download file is approximately 250 megabytes.
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| City of Philadelphia |
| 2008 |
LiDAR and LAS data was gathered for the City of Philadelphia in April 2008. DEMs were generated from the raw data.
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| City of Philadelphia |
| 2010 |
LiDAR and LAS data was gathered for the City of Philadelphia in April 2010. DEMs were generated from the raw data.
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| City of Philadelphia |
| 2015 |
Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2015 |
Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2015 |
The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. The GIS Services Group at OIT generated these 10ft Contours for the 2015 1ft Contours.
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| City of Philadelphia |
| 2015 |
The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. Lidar Data Products for the Philadelphia, PA collection area including a 5ft Digital Elevation Model (DEM), and tiled1ft Contours.
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| City of Philadelphia |
| 2015 |
The lidar dataset was collected to be utilized for the creation of a digital elevation model and 1ft contours. Other uses expected. The GIS Services Group at OIT generated these 2ft Contours from the 2015 1ft Contours.
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| City of Philadelphia |
| 2018 |
DEM/Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2018 |
DEM/Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEM/Hillshade was generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2018 |
Planimetric Coverage containing the delineation of topographic contours at ten foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels
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| City of Philadelphia |
| 2018 |
Planimetric Coverage containing the delineation of topographic contours at two foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2022 |
Contours 10ft - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf
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| City of Philadelphia |
| 2022 |
DEM - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf
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| City of Philadelphia |
| 2022 |
Hillshade - LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. Classified LiDAR LAS and Derivative Products - This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf
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| City of Philadelphia |
| 2022 |
Topographic Contours 1ft - Planimetric Coverage containing the delineation of topographic contours at one foot intervals. Annotation of Contour Line elevations exists. LiDAR and LAS data was gathered for the City of Philadelphia in April 2022. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. For Additional Information see: https://www.pasda.psu.edu/download/phillyLiDAR/2022/Metadata_and_Reports/Lidar_Report/65221207_Philadelphia_Mapping_Report.pdf
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| City of Philadelphia |
| 1996 |
Philadelphia aerial photography
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| City of Philadelphia |
| 1996 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2000 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2000 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2004 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2004 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2005 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2005 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2008 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2008 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2009 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2009 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2010 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2010 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2011 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2011 |
Philadelphia aerial photography - Leaf On
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| City of Philadelphia |
| 2011 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2011 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2012 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2012 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2014 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2014 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2015 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2015 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2016 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2016 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2016 |
Philadelphia aerial photography
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| City of Philadelphia |
| 2016 |
Philadelphia aerial photography 3 inch pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2017 |
Philadelphia aerial photography city wide mosaic. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2017 |
Philadelphia aerial photography 1 meter pixels. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2017 |
Philadelphia aerial photography 1 meter pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2017 |
Philadelphia aerial photography 3 inch pixels. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2017 |
Philadelphia aerial photography 3 inch pixels tile index. The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International.
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| City of Philadelphia |
| 2018 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2018 |
Tile Index - Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2019 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2019 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2020 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2020 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2022 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2022 |
Color Citywide digital orthophotography with a ground resolution of at various resolutions, georeferenced to the Pennsylvania State Plane Coordinate System, and delivered as individual and mosaicked raster images. The dataset consists of tiled orthogonal imagery produced from nadir images captured by various contractors during the months of April and May.
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| City of Philadelphia |
| 2016 |
This file reflects the current Amenities at PHL. (Philadelphia International Airport)
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| City of Philadelphia |
| 2016 |
This file reflects the current Art Exhibits at PHL. (Philadelphia International Airport)
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's (Philadelphia International Airport) parking entrances and exits in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's (Philadelphia International Airport) public parking lots in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's (Philadelphia International Airport) rental car locations by name in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's (Philadelphia International Airport) rental car lots by name in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's(Philadelphia International Airport) transit stops and vehicle zones in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to manage PHL's (Philadelphia International Airport) runaways and their assests in an interactive/ geographically illustrated format.
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| City of Philadelphia |
| 2016 |
This data has been developed to display terminal buildings at the Philadelphia International Airport.
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| City of Philadelphia |
| 2016 |
Vendor Locations at the PHL International Airport.
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| City of Philadelphia |
| 2012 |
Philadelphia bike network and supporting datasets is an experimental dataset that combines various City of Philadelphia departments' datasets to support bike network routing. These datasets are in an experimental stage and are not yet approved for wide use. Use with caution is recommended. Datasets include Bike Network, Connector Streets, Regional Routes, and Trails and Side paths. For source, date, limitations and additional data for each supporting dataset, please see metadata.
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| City of Philadelphia |
| 2012 |
This dataset is a combination of both bike racks installed in 2008 as a result of Adopt-a-rack program and racks installed by converting parking meters by the Philadelphia Parking Authority.
Those racks installed in 2008 as part of the City's first Adopt-a-rack program were requested by civic and business associations who "adopted" them and promised to clear abandoned bikes, remove graffiti and maintain them if they were damaged. These bike racks are in the style of 'staple' or 'hoop' racks.
The PPA racks are those mounted to the former parking meter posts. They are the green discs that have been installed through Center City and parts of University City.
The PROJECT field defines the associated project of installation, either Adopt-a-rack or PPA.
The STAND_ADD field is most appropriate for address locating or geocoding purposes.
Please note the field NUM_RACKS represents the number of racks at a given address. Each record may represent more than one bike rack.
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| City of Philadelphia |
| 2008 |
Files used to comprise a 3D building model of the City of Philadelphia
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| City of Philadelphia |
| 2010 |
Files used to comprise a 3D building model of the City of Philadelphia
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| City of Philadelphia |
| 2015 |
Files used to comprise a 3D building model of the City of Philadelphia
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| City of Philadelphia |
| 2017 |
Planimetric Coverage containing the delineation of buildings or related structure outlines that represent the footprints of buildings within the City of Philadelphia.
Outlines are based on imagery captured in early 2015.
FEATURES DELINEATED:
-Residential, commercial and industrial buildings
-Isolated garages, mobile homes, sheds
-Greenhouses and silos
-Buildings under construction that at least have walls
-Trailer boxes with windows or doors
Data was captured from AccuPLUS Orthomosaic tiles created off PAPHIL15-LEAF-OFF imagery, flown by Pictometry.
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| City of Philadelphia |
| 2010 |
The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas. Some boundary details clarified by Philadelphia City Planning Commission May 2011
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| City of Philadelphia |
| 2000 |
Census bureau statistical units. Most commonly used statistical unit. This version, released January 2004 contains a fix, replacing tract 172 which was omitted from previous versions.
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| City of Philadelphia |
| 2010 |
Census tracts are small, relatively permanent statistical subdivisions of a county delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The U.S. Census Bureau delineated census tracts in situations where no local participant existed or where local or tribal governments declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of decennial census data. Census tracts generally have between 1,500 and 8,000 people, with an optimum size of 4,000 people. Counties with fewer people have a single census tract.) When first delineated, census tracts are designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over many decades so that statistical comparisons can be made from decennial census to decennial census. However, physical changes in street patterns caused by highway construction, new developments, and so forth, may require occasional boundary revisions. In addition, census tracts occasionally are split due to population growth or combined as a result of substantial population decline.Census tracts are identified by a four-digit basic number and may have a two-digit numeric suffix; or example, 6059.02. The decimal point separating the four-digit basic tract number from the two-digit suffix is shown in the printed reports and on census maps. In computer-readable files, the decimal point is implied. Many census tracts do not have a suffix; in such cases, the suffix field is either left blank or is zero-filled. Leading zeros in a census tract number (for example, 002502) are shown only in computer-readable files. Census tract suffixes may range from .01 to .98. For the 1990 census, the .99 suffix was reserved for census tracts/block numbering areas (BNAs) that contained only crews-of-vessels population; for Census 2000, the crews-of-vessels population is part of the related census tract.Census tract numbers range from 1 to 9999 and are unique within a county or statistically equivalent entity. The U.S. Census Bureau reserves the basic census tract numbers 9400 to 9499 for census tracts delineated within or to encompass American Indian reservations and off-reservation trust lands that exist in multiple states or counties. The number 0000 in computer-readable files identifies a census tract delineated to provide complete coverage of water area in territorial seas and the Great Lakes. Projection: Lambert Conformal ConicXY Coordinate System: NAD 1983 StatePlane Pennsylvania South FIPS 3702 (US Feet)Datum: NAD 1983Units of Measurement: Foot_US
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| City of Philadelphia |
| 2016 |
This polygon layer represents the Market Areas for each representative from the Department of Commerce Office of Business Services (OBS). All polygons (nearly all of which correspond to zip codes) associated with an OBS representative’s name comprise that representative’s Market Area.
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| City of Philadelphia |
| 2016 |
This data set reflects the recipients, award amounts, and project sites for grant money disbursed by the Philadelphia Commerce Department for the Storefront Improvement Program whereby businesses are provided the funds to improve the exterior of their storefront and beautify the commercial corridor on which they operate.
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| City of Philadelphia |
| 2016 |
correctional facility points in the City, administered by the Philadelphia Prisons System
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| City of Philadelphia |
| 1990 |
District boundaries of municipal legislators.
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| City of Philadelphia |
| 2000 |
District Boundaries of Municipal Legislators
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| City of Philadelphia |
| 2024 |
This dataset is composed of the entire City of Philadelphia's parcels based on their legal descriptions.
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| City of Philadelphia |
| 2012 |
Commercial/industrial zones with special amenities.
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| City of Philadelphia |
| 2012 |
Commercial/industrial zones with special amenities
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| City of Philadelphia |
| 2016 |
Philadelphia Fire Department Fire Station Locations.
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| City of Philadelphia |
| 2016 |
Polygon boundaries of geographic market areas in the city of Philadelphia.
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| City of Philadelphia |
| 2013 |
Green City, Clean Waters is Philadelphia's 25-year plan to protect and enhance our watersheds by managing stormwater with green infrastructure. This feature class represents Green Stormwater Infrastructure (GSI) locations that are currently in the design phase or have been constructed.
Features updated: 01/25/2013
Attributes updated: 01/25/2013
Metadata updated 01/25/2013
Update Frequency - monthly
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| City of Philadelphia |
| 2016 |
Street location and types of pollutants sampled at each PDPH air monitoring station. Current as of 7/1/15.
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| City of Philadelphia |
| 2016 |
This data set contains crash data for the years 2011-2014 from the Pennsylvania Department of Transportation.
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| City of Philadelphia |
| 2016 |
Locations of Diabetes Prevention Program sites.
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| City of Philadelphia |
| 2016 |
Locations of farmers markets.
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| City of Philadelphia |
| 2016 |
Primary care health centers.
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| City of Philadelphia |
| 2016 |
Healthy corner stores as of 4/22/15.
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| City of Philadelphia |
| 2016 |
Street location, contact information and hours for medical screening sites that are partnered with the PDPH Office of Health Information and Improvement. This dataset is the schedule for April 2015.
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| City of Philadelphia |
| 2016 |
Locations of Philadelphia hospitals.
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| City of Philadelphia |
| 2016 |
City blocks where there is low or no walkable access to healthy food and high poverty.
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| City of Philadelphia |
| 2016 |
Street location, hours and contact information of PDPH-affiliated Healthy Start Community.
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| City of Philadelphia |
| 2015 |
Planimetric Coverage containing the delineation of impervious surfaces for studying and calculating drainage runoff. This coverage shows surface features that are visible on the aerial photography, and is sometimes referred to as the landbase.
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| City of Philadelphia |
| 2008 |
High resolution land cover dataset for Philadelphia. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at ten square feet. The primary sources used to derive this land cover layer were 2008 Orthophotography and 2008 LiDAR LAS data. Ancillary data sources included GIS data (building footprints, road polygons, and hydrography) provided by City of Philadelphia. This land cover dataset is considered current as of 2008. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control. More than 30700 corrections were made to the classification.
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| City of Philadelphia |
| 2018 |
High resolution land cover dataset for Philadelphia,Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2018 LiDAR data and 2017 NAIP imagery. Ancillary data sources included GIS data provided by Philadelphia,Pennsylvania or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3500 and all observable errors were corrected.
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| City of Philadelphia |
| 2012 |
Free Library of Philadelphia locations (branches and Central) are represented as point features. Feature Update Date: 05-2012
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| City of Philadelphia |
| 2008 |
LiDAR data collection performed over the City of Philadelphia, PA in April of 2008. Products generated include Breaklines, 10ft DEM and 5ft DEM.
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| City of Philadelphia |
| 2010 |
LiDAR data collection performed over the City of Philadelphia, PA in April of 2010. Products generated include Breaklines, 10ft DEM and 5ft DEM.
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| City of Philadelphia |
| 2015 |
This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 196 sq miles total. The dataset consists of 1024 lidar point cloud LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. The data was collected at a nominal point spacing of 0.70m using Pictometry's Riegl LMS-Q680i LiDAR system over 4 mission days on April 18th, 19th, 22nd, and 25th, 2015. At the time of capture ground condiitons were leaf-off, snow free, and water was at normal levels.
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| City of Philadelphia |
| 2018 |
2018 LiDAR – 8ppm – Classified. LiDAR and LAS data was gathered for the City of Philadelphia in April 2018. DEMs were generated from the raw data. This dataset is lidar point cloud data covering the City of Philadelphia, PA, approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions were leaf-off, snow free, and water was at normal levels. Key attribute field names and descriptions: LiDAR Classification Categories: 0 Created Not Classified 1 Unclassified 2 Ground 3 Low vegetation 4 Vegetation 5 High vegetation 6 Building 9 Water 17 Bridge Deck
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