{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Earthdata Forum", "hasEmail": "mailto:earthdata-support@nasa.gov"}, "description": "This dataset provides georeferenced polygon vectors of individual tree canopy geometries for dryland areas in West African Sahara and Sahel that were derived using deep learning applied to 50-cm resolution satellite imagery. More than 1.8 billion non-forest trees (i.e., woody plants with a crown size over 3 m2) over about 1.3 million km2 were identified from panchromatic and pansharpened normalized difference vegetation index (NDVI) images at 0.5-m spatial resolution using an automatic tree detection framework based on supervised deep-learning techniques. Combined with existing and future fieldwork, these data lay the foundation for a comprehensive database that contains information on all individual trees outside of forests and could provide accurate estimates of woody carbon in arid and semi-arid areas throughout the Earth for the first time.", "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/C2761798565-ORNL_CLOUD.iso19115", "format": "ISO", "mediaType": "text/xml", "title": "Original Metadata"}, {"@type": "dcat:Distribution", "downloadURL": "https://daac.ornl.gov/VEGETATION/guides/Non-Forest_Trees_Sahara_Sahel_Fig1.png", "format": "PNG", "mediaType": "image/png"}, {"@type": "dcat:Distribution", "downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/Non-Forest_Trees_Sahara_Sahel/comp/Non-Forest_Trees_Sahara_Sahel.pdf", "format": "PDF", "mediaType": "application/pdf"}, {"@type": "dcat:Distribution", "downloadURL": "https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/Non-Forest_Trees_Sahara_Sahel/comp/gpkg_to_esri.py", "format": "BIN", "mediaType": "application/octet-stream"}, {"@type": "dcat:Distribution", "downloadURL": "https://doi.org/10.3334/ORNLDAAC/1832", "format": "HTML", "mediaType": "text/html"}, {"@type": "dcat:Distribution", "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C2761798565-ORNL_CLOUD", "format": "BIN", "mediaType": "application/octet-stream"}], "identifier": "10.3334/ORNLDAAC/1832", "keyword": ["earth-science-ecosystems-biosphere-terrestrial-ecosystems", "earth-science-vegetation-biosphere-canopy-characteristics", "earth-science-vegetation-biosphere-forest-composition-vegetation-structure", "earth-science-vegetation-biosphere-vegetation-cover"], "license": "https://www.usa.gov/government-works", "modified": "2026-09-08", "programCode": ["026:000"], "publisher": {"@type": "org:Organization", "name": "ORNL_DAAC"}, "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -18.0, \"NorthBoundingCoordinate\": 24.0294, \"EastBoundingCoordinate\": -5.48513, \"SouthBoundingCoordinate\": 11.3531}]]", "temporal": "2005-11-01/2018-03-31", "theme": ["Earth Science"], "title": "An Unexpectedly Large Count of Trees in the West African Sahara and Sahel"}