{
 "culture": "en-US",
 "name": "Dasymetric_Population_CONUS_2020_V1",
 "guid": "",
 "catalogPath": "",
 "snippet": "This dataset is used for metrics that require population to be spatially allocated at a higher resolution than census blocks. This dataset is associated with the journal article (Baynes, J., Neale, A., Hultgren, T. (2022). Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas. Earth System Science Data, 14(6), 2833-2849. https://doi.org/10.5194/essd-14-2833-2022).  The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation.",
 "description": "",
 "summary": "This dataset is used for metrics that require population to be spatially allocated at a higher resolution than census blocks. This dataset is associated with the journal article (Baynes, J., Neale, A., Hultgren, T. (2022). Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas. Earth System Science Data, 14(6), 2833-2849. https://doi.org/10.5194/essd-14-2833-2022).  The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation.",
 "title": "Dasymetric_Population_CONUS_2020_V1",
 "tags": [
  "EPA",
  "EnviroAtlas",
  "Dasymetric Population",
  "2020",
  "CONUS"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "ArcGIS Server",
  "Data",
  "Image Service",
  "Service"
 ],
 "thumbnail": "",
 "url": "https://awsbutterfly.epa.gov:6443/arcgis/rest",
 "minScale": 0,
 "maxScale": 0,
 "spatialReference": "",
 "accessInformation": "",
 "licenseInfo": ""
}