Date | Title | Provider |
2006 |
Railroad Centerlines are collected by digitizing the apparent center of each set of rails. The Rail Line Edge is the apparent Right of Way. Rights of Way and Centerlines that are currently being used for rail traffic are coded as In Use. Rights of Way and Centerlines that no longer maintain rail traffic but have tracks remaining, as exemplified by plants growing through or around the tracks or right of way, are coded as Abandoned. Rights of Way and Centerlines that have the tracks removed are coded as Old. The Rights of Way and Centerlines that have the tracks removed and have been converted to trails are coded as Rails to Trail. For rail lines that cannot be discerned between Old and Rails to Trails, the Rights of Way and Centerlines shall be coded as Old.
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| Allegheny County |
2025 |
This dataset contains street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road, Secondary Road, Unpaved Road, Limited Access Road, Connecting Road, Jeep Trail, Walkway, Stairway, Alleyway and Unknown.
A Primary Road is a street paved with either concrete or asphalt that has two (2) or more lanes in each direction. A Secondary Road is a residential type hard surface road, or any hard surface road with only one (1) lane in each direction. An Unpaved Road is any road covered with packed dirt or gravel. A Limited Access Road is one that can only be accessed from a Connecting Road such as an Interstate Highway. A Connecting Road is a ramp connecting a Limited Access Road to a surface street. A Walkway is a paved or unpaved foot track that connects two (2) roads together. Walkways within College Campuses will also be shown. Recreational pedestrian trails and walkways through parks and wooded areas are not considered transportation and will not be digitized during this update. Walkways will not have an Edge of Pavement feature. A Stairway is a paved or wooden structure that connects two (2) roads together. Recreational pedestrian trails and walkways through parks and wooded areas are not considered transportation and will not be digitized during this update. An Alleyway is a road, usually narrower than a Secondary Road that runs between, but parallel to, two (2) Secondary Roads. Generally, Outbuildings will be adjacent to Alleyways. A Jeep Trail is a vehicular trail used for recreation. A Jeep Trail will not have an associated edge of pavement feature. A road coded as Unknown is a road, which in the judgment of the photogrammetrist, does not fall into any of the categories listed.
Centerlines will be visually placed between the edges of pavement. One (1) centerline will be placed between each edge of pavement. Roads with medial strips, such as Limited Access Roads, will have two (2) centerlines for those portions of the road where the medial strip is present.
For roads that terminate with a cul-de-sac, the centerline shall continue through the center of the cul-de-sac and stop at the edge of pavement.
All attribute data will remain for all Street Centerlines that are not updated. For Street Centerlines that are new, the only attribute field that will be populated is the FeatureCode and UPDATE_YEAR. If a Street Centerline is graphically modified, the existing attribute data will remain and the UPDATE_YEAR will be set to 2004. The attribute values for 2004 Street Centerlines should be considered suspicious until verified.
The ArcInfo Street Centerline coverage that is being updated has 800 segments of Paper Streets, 66 segments of Vacated Streets and 78 segments of Steps. Street Centerlines that are coded as Paper Streets in the OWNER field will remain unchanged in the updated dataset unless the area has been developed. In the event the area has been developed, the Street Centerlines will be modified to reflect the true condition of the visible roads.
Street Centerlines that are coded as Vacated in the OWNER field will also remain unchanged in the updated dataset. In the event the area coinciding with the Vacated Streets has been developed, the Vacated Street Centerlines will be removed in order to reflect the true condition of the area.
Street Centerlines that are coded as Steps in the OWNER field will be updated to reflect the current condition of the area.
The Street Centerlines dataset consists of an external table that links to the supplied coverages and the Geodatabase created for this project using the "-ID" (UserID) field. In order to maintain the link to the external table and not loose valuable data the decision was made to keep all database information currently in the Street Centerline dataset. When a Street Centerline is modified during the update process, the field "UPDATE_YEAR" is set to 2004. All other database attributes will remain unchanged from the original values. All Street Centerline database data with an "UPDATE_YEAR" of 2004 should be verified before used. In some occasions the Street Centerline was divided into two (2) sections to allow for a new road intersection. Both sections of the resulting Street Centerline will have the same database attributes including Address Range. All new Street Centerlines will have zero (0) for "SystemID" and "UserID".
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| Allegheny County |
2025 |
This dataset is widely used. It supports functions such as: 911 addressing, location reference, cartography, 911 dispatch, etc... Data is maintained by BCGIS Department. Because this data is a critical component to 911 addressing, if any errors are observed we kindly ask that the Blair County GIS Department be notified directly by sending an email to: GIS@blairco.org, or by calling the office at: 814-693-2535. Every effort is made to provide an accurate and current representation of the roads within the County, however we do not guarantee the validity nor spatial accuracy of this dataset.
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| Blair County |
2023 |
Bradford County Road Centerlines
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| Bradford County |
2023 |
Road Centerlines
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| Bucks County |
2020 |
Railroad Centerlines in Carbon County, Pennsylvania
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| Carbon County |
2020 |
This dataset contains road centerlines for vehicular and foot traffic in Chester County.
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| Chester County |
2024 |
Roads of Columbia County, Pennsylvania
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| Columbia County |
2023 |
Real estate boundaries and parcel identification number for Cumberland County, Pennsylvania. These boundaries do not represent survey accuracy
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| Cumberland County |
2022 |
Road centerlines for Dauphin County. Used for the emergency dispatch system, mapping, and reference.
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| Dauphin County |
2007 |
This dataset consists of road centerlines 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.
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| DCNR PAMAP Program |
2023 |
This dataset contains street centerlines for vehicular and foot traffic in Delaware County, Pennsylvania
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| Delaware County |
2022 |
Roads represents all offical road center lines in Huntingdon County, PA. These features represent all Huntingdon County roads: federal & state, municipal & borough, public & private.The original data was derived from PennDOT road centerlines and expanded by the Huntingdon County Planning and Mapping departments. Currently the data is maintained and updated by the Mapping Department on a weekly basis, or at the county’s discretion.
Beginning with December 2022 this data follows the NG911 schema
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| Huntingdon County |
2008 |
This line coverage contains arc features representing photogrammetrically interpreted Rail
Road centerlines. County Planning Commission supplied reference map to identify active
features from abandoned features.
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| Lancaster County |
2025 |
This line coverage contains arc features representing all photogrammetrically interpreted street centerlines in the county, including roads built during or after 1993. RPT will resolve and generate road names.
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| Lancaster County |
2021 |
Road Centerlines of Lehigh County, Pennsylvania
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| Lehigh County |
2020 |
Lycoming County Named Roads. This contains both private and public roads which have an address range and an approved road name as per the Lycoming County Addressing Ordinance 96-3
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| Lycoming County |
2024 |
Roads of Monroe County, Pennsylvania
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| Montour County |
2025 |
State-owned and maintained public roads within Pennsylvania as extracted from the PENNDOT Roadway Management System (RMS). Includes fields describing pavement type, traffic volumes and other information as detailed below.
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| Pennsylvania Department of Transportation |
2017 |
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.
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| University of Vermont Spatial Analysis Laboratory |
2014 |
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.
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| University of Vermont Spatial Analysis Laboratory |
2024 |
Washington County Road Centerlines generated by the Department of Public Safety
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| Washington County |