This is a connection to the Pennsylvania Spatial Data Access (PASDA) Pennsylvania's official public access geospatial information clearinghouse. PASDA was developed in 1996 by the Pennsylvania State University and has served as the clearinghouse for Pennsylvania for over twenty years.

PASDA is a cooperative project of the Governor's Office of Administration, Office for Information Technology, and Penn State Institutes of Energy and the Environment of the Pennsylvania State University. Funding and support is provided by the Pennsylvania Office for Information Technology. Penn State contributions include system administration support and infrastructure from the Institute for CyberScience, and the College of Earth and Mineral Sciences.

PASDA was developed as a service to the citizens of the Commonwealth of Pennsylvania. The purpose of PASDA is to serve as the Commonwealth's comprehensive and coordinated open geospatial data portal that provides free public access to geospatial data and information by, for, and about the Commonwealth of Pennsylvania. PASDA is Pennsylvania's node on the National Spatial Data Infrastructure,Geospatial One-Stop, and is integrated with the National States Geographic Information Council GIS Inventory.

metadata for Civic Life / PSU Neighborhood Profiles-- Additional Information Category: Miscellaneous Purpose: metadata for Civic Life / PSU Neighborhood Profiles Update Frequency: Annually-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=61020

The attribute tables holds the following information:LEED_RATE - Gold, Silver, Platinum based on official LEED certification. Includes all buildings in the SOMA district. Includes LEED buildings that are not owned by PSU.BUILDINGID - Building acronym. Do not use this as a building unique identifier. LONGNAME - Official long name of building.Owned_Leas - Owned means PSU owns, manages and operates building for PSU use. Leased means the building is being leased (Crown Plaza, Pepco and UTS). Partnership means that PSU is in contract or agreement to use the space (CLSB). Other means PSU does not own or operate building. This data may change up to 2-3 times a year. The Campus Planning Office maintains this information. BLDID_AIM - The Building identification number matches the unique identifier of the Asset Information Managment database (AssetWorks, AimCAD, or the work order request system). Photo - Intended to be an attribute hotlink field, data has not been updated to match the new capital projects website address. Housing - Yes means the building is housing, includes private and PSU housing. Non-PSU housing data sourced from the City of Portland buildings database. ShortName - Shortened building name to accomodate labeling. Seismic - Indicates whether a building has had any seismic retrofit. For additional information ask Capital Archivist Bryce Henry.All other attribute data is sourced from the City of Portland buildings GIS database and additional metadata can be found here: http://www.civicapps.org/datasets/building-footprints-portland

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.

Dataset hosted at PASDA Pennsylvania Spatial Data Access, The Pennsylvania Geospatial Data Clearinghouse

Web map services links. http://maps.psiee.psu.edu/preview/map.ashx?layer=1136 REST: http://maps.pasda.psu.edu/ArcGIS/rest/services/pasda/CityPhilly/MapServer WMS: http://maps.pasda.psu.edu/arcgis/services/pasda/CityPhilly/MapServer/WMSServer?SERVICE=WMS&request=getcapabilities Data: ftp://ftp.pasda.psu.edu/pub/pasda/philacity/data/PhiladelphiaImperviousSurfaces2015.zip GeoJSON: http://www.pasda.psu.edu/json/PhiladelphiaImperviousSurfaces2015.geojson Metadata: http://www.pasda.psu.edu/uci/FullMetadataDisplay.aspx?file=PhiladelphiaImperviousSurfaces2015.xml

This map displays information related to student housing at Penn State for the 1919-1920 Academic Year. The georeferenced and tiled Sanborn Map overlay base map come from the Penn State University Libraries Historic Sanborn Fire Insurance Collection. The digitized building outlines were created Summer 2015 as part of a Bednar Internship. Student directory information comes from the Penn State University Libraries Special Collections Library and was digitized by the Libraries Digitization, Conservation, and Preservation Department. Once digitized, the scanned directory pages were run through ABBYY FineReader OCR, formatted, cleaned, and related to the individual buildings to create this map.Created by the Donald W. Hamer Maps Library as part of 2016-2017 Academic Year Bednar Internship.

This layer is sourced from maps.pasda.psu.edu.

This layer is sourced from maps.pasda.psu.edu.

Portland State University Active Rock Glacier Inventory (PSUARGI). This GIS inventory, developed at Portland State University, identifies 10,332 active rock glaciers of the Contiguous United States. Each active rock glacier polygon is classified as a Class 1, Class 2 or Class 3 feature. Class 1 rock glaciers appear to be highly active, Class 2 rock glaciers appear to be intermediately active, Class 3 rock glaciers appear to be minimally active.

This dataset displays parcels of Forest Service land congressionally designated as wilderness. The Allegheny Islands Wilderness and the Hickory Creek Wilderness were established by the Pennsylvania Wilderness Act of 1984 (Public Law 98-585).

This layer is sourced from maps.pasda.psu.edu.

This layer is sourced from maps.pasda.psu.edu.

This map documents known historic aerial photography holdings for each of Pennsylvania's 67 counties. The information itself comes from the USDA and holdings of the individual counties based upon a survey conducted during Summer 2017.At the county level, aerials are mainly found in the GIS, Planning Commission, or Tax Assessment Office. This listing is currently incomplete and can be added to by contacting UL-maps@lists.psu.edu

This layer is sourced from maps.pasda.psu.edu.

description:

This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm; http://co.centre.pa.us/centreco/conservation/Using_SoilMap_website_and_soildatamart.htm

If viewing this description on the Western Pennsylvania Regional Data Center s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the Explore button (and choosing the Go to resource option) to the right of the ArcGIS Open Dataset text below.

Category: Environment

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Administrative Services

Temporal Coverage: 2000

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: 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. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey

Other: none

Related Document(s): Data Dictionary (none)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm; http://co.centre.pa.us/centreco/conservation/Using_SoilMap_website_and_soildatamart.htm

If viewing this description on the Western Pennsylvania Regional Data Center s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the Explore button (and choosing the Go to resource option) to the right of the ArcGIS Open Dataset text below.

Category: Environment

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Administrative Services

Temporal Coverage: 2000

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: 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. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey

Other: none

Related Document(s): Data Dictionary (none)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

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.

This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=986

The parking data was provided by the Transportation & Parking Services in Excel format. The Excel file was joined to a GIS layer created by Baofeng Dong. Total space includes motorcycle spaces.Reserved space includes Zipcar/carshare spaces

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.

This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=138

This layer is sourced from maps.pasda.psu.edu.

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.

This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=1099

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.

This data is hosted at, and may be downloaded or accessed from PASDA, the Pennsylvania Spatial Data Access Geospatial Data Clearinghouse http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=3167

This map documents known historic aerial photography holdings for each of Pennsylvania's 67 counties. The information itself comes from the USDA and holdings of the individual counties based upon a survey conducted during Summer 2017.At the county level, aerials are mainly found in the GIS, Planning Commission, or Tax Assessment Office. This listing is currently incomplete and can be added to by contacting UL-maps@psu.edu