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Pennsylvania_CHB_Land_Cover (Map Service)


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Current Version: 10.81

Service Description: High-resolution land cover dataset for the Chesapeake Bay watershed within the Commonwealth of Pennsylvania. Twelve land cover classes were mapped: 0 - Background 1 - Water 2 - Emergent Wetlands 3 - Tree Canopy 4 - Scrub/Shrub 5 - Low Vegetation 6 - Barren 7 - Structures 8 - Other Impervious Surfaces 9 - Roads 10 - Tree Canopy over Structures 11 - Tree Canopy over Other Impervious Surfaces 12 - Tree Canopy over Roads The complete class definitions and standards can be viewed at the link below. https://docs.google.com/presentation/d/1lgOyFO0lCBl8skDGDZusthLNRVBwQs6b5nrAi05EohY/edit?usp=sharing Spatial resolution (pixel size) is 1 meter. 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 date 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 ensure 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.

Map Name: Layers

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All Layers and Tables

Layers: Tables: Description: High-resolution land cover dataset for the Chesapeake Bay watershed within the Commonwealth of Pennsylvania. Twelve land cover classes were mapped: 0 - Background 1 - Water 2 - Emergent Wetlands 3 - Tree Canopy 4 - Scrub/Shrub 5 - Low Vegetation 6 - Barren 7 - Structures 8 - Other Impervious Surfaces 9 - Roads 10 - Tree Canopy over Structures 11 - Tree Canopy over Other Impervious Surfaces 12 - Tree Canopy over Roads The complete class definitions and standards can be viewed at the link below. https://docs.google.com/presentation/d/1lgOyFO0lCBl8skDGDZusthLNRVBwQs6b5nrAi05EohY/edit?usp=sharing Spatial resolution (pixel size) is 1 meter. 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 date 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 ensure 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.

Copyright Text: This land cover dataset was developed by the University of Vermont Spatial Analysis Laboratory. The development of the algorithms was done in collaboration with the United States Forest Service. Funding for the Delaware River Basin portion was provided by the William Penn Foundation under a collaborative grant with Shippensburg University. Funding for the Chesapeake Bay Watershed portion was provided by the National Park Service and Environmental Protection Agency under a collaborative grant with the Chesapeake Bay Conservancy.

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly

Tile Info:
Initial Extent:
Full Extent:
Min Scale: 5.91657527591555E8
Max Scale: 9027.977411

Min LOD: 0
Max LOD: 16

Units: esriMeters

Supported Image Format Types: MIXED

Export Tiles Allowed: false
Max Export Tiles Count: 100000

Document Info: