{
 "culture": "en-US",
 "name": "DEM_ELEVATION",
 "guid": "",
 "catalogPath": "",
 "snippet": "FABDEM (Forest And Buildings removed Copernicus DEM) removes building and tree height biases from the Copernicus GLO 30 Digital Elevation Model (DEM) (Airbus, 2020). The data is available at 1 arc second grid spacing (approximately 30m at the equator) for the globe. The authors use machine learning to remove buildings and forests from the Copernicus Digital Elevation Model to produce, for the first time, a global map of elevation with buildings and forests removed at 1 arc second (∼30 m) grid spacing.",
 "description": "",
 "summary": "FABDEM (Forest And Buildings removed Copernicus DEM) removes building and tree height biases from the Copernicus GLO 30 Digital Elevation Model (DEM) (Airbus, 2020). The data is available at 1 arc second grid spacing (approximately 30m at the equator) for the globe. The authors use machine learning to remove buildings and forests from the Copernicus Digital Elevation Model to produce, for the first time, a global map of elevation with buildings and forests removed at 1 arc second (∼30 m) grid spacing.",
 "title": "DEM ELEVATION",
 "tags": [
  "MPWRD",
  "MP-SWIC",
  "Hydrology",
  "DEM",
  "Madhya Pradesh",
  "Digital Atlas"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Image Service",
  "ArcGIS Server",
  "Elevation 3D Layer"
 ],
 "thumbnail": "",
 "url": "https://gis.nwic.in/server",
 "minScale": 5.91657527591555E8,
 "maxScale": 72223.819286,
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "",
 "licenseInfo": ""
}