{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Neal J Pastick", "hasEmail": "mailto:njpastick@usgs.gov"}, "description": "Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9ZN7BN8", "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.6023017dd34e31ed20c87329.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6023017dd34e31ed20c87329", "keyword": ["Exotic annual grasses, cheatgrass, remote sensing, wildfire", "USGS:6023017dd34e31ed20c87329", "biota"], "modified": "2022-04-21T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-121.87704, 36.90701, -104.87570, 47.84742", "theme": ["geospatial"], "title": "Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)"}