{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
    "026:00"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "Earthdata Forum",
    "hasEmail": "mailto:earthdata-support@nasa.gov"
  },
  "description": "This dataset holds estimates of forest aboveground biomass (AGB) for  Maine, USA, in 2023. AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural network (CNN) model. The airborne LiDAR datasets used in this mapping were collected in different years. The CNN model was calibrated using plot-level forest inventory data with precise location measurements and spectral indices derived from multiple remote sensing products. Stand-level biomass succession models, developed from the USDA Forest Service Forest Inventory and Analysis (FIA) data, were applied to project biomass estimates to the year 2023 with 10-m spatial resolution. The data are provided in GeoTIFF format.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "conformsTo": "http://www.isotc211.org/2005/gmi",
      "description": "The metadata's original source.",
      "downloadURL": "https://cmr.earthdata.nasa.gov/search/concepts/C3566308239-ORNL_CLOUD.iso19115",
      "format": "ISO",
      "mediaType": "text/xml",
      "title": "Original Metadata"
    },
    {
      "@type": "dcat:Distribution",
      "downloadURL": "https://daac.ornl.gov/CMS/guides/Maine_Forest_Biomass_Map_Fig1.png",
      "format": "PNG",
      "mediaType": "image/png"
    },
    {
      "@type": "dcat:Distribution",
      "downloadURL": "https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Maine_Forest_Biomass_Map_2435.zip",
      "format": "ZIP",
      "mediaType": "application/zip"
    },
    {
      "@type": "dcat:Distribution",
      "downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/cms/Maine_Forest_Biomass_Map/comp/Maine_Forest_Biomass_Map.pdf",
      "format": "PDF",
      "mediaType": "application/pdf"
    },
    {
      "@type": "dcat:Distribution",
      "downloadURL": "https://doi.org/10.3334/ORNLDAAC/2435",
      "format": "HTML",
      "mediaType": "text/html"
    },
    {
      "@type": "dcat:Distribution",
      "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C3566308239-ORNL_CLOUD",
      "format": "BIN",
      "mediaType": "application/octet-stream"
    }
  ],
  "identifier": "10.3334/ORNLDAAC/2435",
  "keyword": [
    "earth-science-ecosystems-biosphere-terrestrial-ecosystems",
    "earth-science-vegetation-biosphere-biomass"
  ],
  "license": "https://www.usa.gov/government-works",
  "modified": "2026-09-22",
  "programCode": [
    "026:000"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "ORNL_DAAC"
  },
  "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -71.3389, \"NorthBoundingCoordinate\": 47.461, \"EastBoundingCoordinate\": -66.6761, \"SouthBoundingCoordinate\": 42.9074}]]",
  "temporal": "2023-01-01/2023-12-31",
  "theme": [
    "Earth Science"
  ],
  "title": "Forest Aboveground Biomass for Maine, 2023"
}