{
  "accessLevel": "public",
  "bureauCode": [
    "010:12"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "Claudine Tobalske",
    "hasEmail": "mailto:claudine.tobalske@umontana.edu"
  },
  "description": "This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 72.7%. A series of post-modeling steps brought the final number of land cover classes to 28.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "accessURL": "https://doi.org/10.5066/P14RKP3P",
      "description": "Landing page for access to the data",
      "format": "XML",
      "mediaType": "application/http",
      "title": "Digital Data"
    },
    {
      "@type": "dcat:Distribution",
      "description": "The metadata original format",
      "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.22075a47-b3fb-4582-9b38-ca6941cefe5b.xml",
      "format": "XML",
      "mediaType": "text/xml",
      "title": "Original Metadata"
    }
  ],
  "identifier": "http://datainventory.doi.gov/id/dataset/USGS_22075a47-b3fb-4582-9b38-ca6941cefe5b",
  "keyword": [
    "CMR",
    "Charles M. Russell National Wildlife Refuge",
    "Landcover",
    "Landsat Imagery",
    "Montana",
    "USGS:22075a47-b3fb-4582-9b38-ca6941cefe5b",
    "environment",
    "external research support",
    "geospatial datasets",
    "imageryBaseMapsEarthCover",
    "remote sensing"
  ],
  "modified": "2026-08-11T00:00:00Z",
  "publisher": {
    "@type": "org:Organization",
    "name": "U.S. Geological Survey"
  },
  "spatial": "-109.2871, 47.1575, -106.3538, 48.3324",
  "theme": [
    "geospatial"
  ],
  "title": "Charles M. Russell National Wildlife Refuge Landsat 8 Landcover Classification in Relation to Greater Sage Grouse"
}