{
 "culture": "en-US",
 "name": "bay_lu_change_tif",
 "guid": "",
 "catalogPath": "",
 "snippet": "This land use change raster dataset is intended to facilitate analysis of the landscape in the Chesapeake Bay Watershed through identification of specific areas of land use for a discrete time period. The dataset was developed by the University of Vermont Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) 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.",
 "description": "This dataset shows specific areas of land use/cover conversion in the Chesapeake Bay Watershed during the period 2013/14 to 2017/18.  Change in land use/cover from 2013/14 to 2017/18 was interpreted by translating changes in land cover to changes in land use consistent with the 54 unique land use/cover classes in the 2017/18 land use dataset.  Changes in land cover were primarily based on multi-date LiDAR imagery if available followed by multi-date NAIP imagery (available for all counties).  Similar rules and logic used to classify the 2013/14 land cover data were applied to the change objects to produce a comparable land cover dataset for 2017/18.  While some changes in land cover translate directly into changes in land use (e.g., impervious structures), others had to be interpreted based on context (e.g., small fragmented patches of tree canopy reconstituted as forest in 2013/14; turf grass in a newly developed parcel interpreted as cropland prior to development in 2013/14).  Transitions between turf grass, cropland, pasture, and natural succession are not evident in the land cover data but are evident in the land use data.  For this reason, the extent of land use change is greater than the extent of land cover change. For more information on input data please see: https://docs.google.com/spreadsheets/d/1e0Uy7DVUe_bXY4jJ1TUPUFvwNs9QbyHrSRY8JQs5GxE/edit?usp=sharing  For detailed methods and documentation, please see: https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/lulc-data-project-2022/",
 "summary": "This land use change raster dataset is intended to facilitate analysis of the landscape in the Chesapeake Bay Watershed through identification of specific areas of land use for a discrete time period. The dataset was developed by the University of Vermont Spatial Analysis Laboratory in cooperation with Chesapeake Conservancy (CC) 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.",
 "title": "bay_lu_change_tif",
 "tags": [
  "land use",
  "LULC",
  "land use change",
  "Chesapeake Bay",
  "Delaware",
  "District of Columbia",
  "Maryland",
  "New York",
  "Pennsylvania",
  "Virginia",
  "West Virginia"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Image Service",
  "ArcGIS Server"
 ],
 "thumbnail": "",
 "url": "https://cicgis.org/arcgis",
 "minScale": 3898785.98824871,
 "maxScale": 121837.062132772,
 "spatialReference": "USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",
 "accessInformation": "Chesapeake Conservancy, U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program",
 "licenseInfo": "The organizations responsible for generating and funding this dataset make no representations of any kind including, but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.  Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions. Credit should always be given to the data source when this data is transferred, altered, or used for analysis."
}