VaShlInv_SMM/ChesapeakeConservancy2022LULCSelectLocalities (ImageServer)

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Service Description: The Chesapeake Bay Land Use/Land Cover (LULC) Database facilitates the characterization of the landscape over time for three discrete time periods at 1-meter spatial resolution. The database was developed by Chesapeake Conservancy (CC) in cooperation with the University of Vermont’s Spatial Analysis Laboratory and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter, 56-class Land Use/Land Cover (LULC) for all counties (205) within or adjacent to the Chesapeake Bay watershed for 2013/14, 2017/18, and 2021/22 depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. The data are built from 11-class Land Cover (LC), which is attributed to the LULC raster data Additionally, 56 LULC classes are generalized into 18 general LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 11 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 56 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 56x56 LULC classes and 11x11 LC classes. Sheets with Chesapeake Bay Water (CBW) in the name indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested in change transitions across the entire county, they will use LULC Matrix. Additionally, tabular summaries of 56 LULC, 18 LULC, and 11 LC representing the acres per class by county, state, and Chesapeake Bay portion of county and states and the net acres of change per class by county, state, and Chesapeake Bay portion of county and states. The database includes the following data: 1. 2013/2014 Land Use and Land Cover (LULC) 2. 2017/2018 Land Use and Land Cover (LULC) 3. 2021/2022 Land Use and Land Cover (LULC) 4. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 5. 2013/2014 to 2021/2022 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 6. 2017/2018 to 2021/2022 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 7. LULC State and County Summary Tables 8. LULC State and County Summary Tables (Chesapeake Bay Watershed Portion) 9. LULCC State and County Summary Tables 10. Land Use/Land Cover Change State and County Summary Tables (Chesapeake Bay Watershed Portion)

Name: VaShlInv_SMM/ChesapeakeConservancy2022LULCSelectLocalities

Description: The Chesapeake Bay Land Use/Land Cover (LULC) Database facilitates the characterization of the landscape over time for three discrete time periods at 1-meter spatial resolution. The database was developed by Chesapeake Conservancy (CC) in cooperation with the University of Vermont’s Spatial Analysis Laboratory and U.S. Geological Survey (USGS) as part of a 6-year Cooperative Agreement between Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and EPA to provide geospatial support to the Chesapeake Bay Program Office. The database contains one-meter, 56-class Land Use/Land Cover (LULC) for all counties (205) within or adjacent to the Chesapeake Bay watershed for 2013/14, 2017/18, and 2021/22 depending on availability of National Agricultural Imagery Program (NAIP) imagery for each state. The data are built from 11-class Land Cover (LC), which is attributed to the LULC raster data Additionally, 56 LULC classes are generalized into 18 general LULC classes for ease of visualization and communication of LULC trends. LC change between discrete time periods, detected by spectral changes in NAIP imagery and LiDAR, represents changes between the 11 land cover classes. LULC change uses LC change to identify where changes are happening and then LC is translated to LULC to represent transitions between the 56 LULC classes. The LULCC data is represented as a LULC class change transition matrix which provides users acres of change between multiple classes. It is organized by 18x18 and 56x56 LULC classes and 11x11 LC classes. Sheets with Chesapeake Bay Water (CBW) in the name indicates raster tabulations were performed for only areas that fall inside the CBW boundary e.g., if user is interested in CBW portion of a county then they will use LULC Matrix CBW. Conversely, if they are interested in change transitions across the entire county, they will use LULC Matrix. Additionally, tabular summaries of 56 LULC, 18 LULC, and 11 LC representing the acres per class by county, state, and Chesapeake Bay portion of county and states and the net acres of change per class by county, state, and Chesapeake Bay portion of county and states. The database includes the following data: 1. 2013/2014 Land Use and Land Cover (LULC) 2. 2017/2018 Land Use and Land Cover (LULC) 3. 2021/2022 Land Use and Land Cover (LULC) 4. 2013/2014 to 2017/2018 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 5. 2013/2014 to 2021/2022 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 6. 2017/2018 to 2021/2022 Land Use and Land Cover Change (LULCC) rasters and LULCC matrices 7. LULC State and County Summary Tables 8. LULC State and County Summary Tables (Chesapeake Bay Watershed Portion) 9. LULCC State and County Summary Tables 10. Land Use/Land Cover Change State and County Summary Tables (Chesapeake Bay Watershed Portion)

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Copyright Text: Funding provided by U.S. Environmental Protection Agency Chesapeake Bay Program. Cooperative participants: University of Vermont Spatial Analysis Laboratory, Chesapeake Conservancy and U.S. Geological Survey.

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Supported Operations: Export Image Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project