{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Bogdan Chivoiu", "hasEmail": "mailto:chivoiub@contractor.usgs.gov"}, "description": "To represent land cover for modeling landscape connectivity and wildlife access to water in a binational study region, we developed a 2023 Landsat-based land cover map of the Lower Rio Grande Valley with 30-m resolution and 18 land cover classes, spanning portions of Texas (USA), Tamaulipas (Mexico), and Nuevo Le\u00f3n (Mexico). We used Landsat 8 data, Landsat-derived spectral indices, and other remote sensing data as predictor variables for a random forest classification algorithm in Google Earth Engine. The resulting land cover dataset at 30-meter resolution was continuous across the U.S. \u2013 Mexico border.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P1KT9Y3A", "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.68408efbd4be022b9cea5d84.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_68408efbd4be022b9cea5d84", "keyword": ["Cameron County", "Hidalgo County", "Landsat 8", "Lower Rio Grande Valley", "Mexico", "Nuevo Le\u00f3n State", "Starr County", "Tamaulipas State", "Texas", "USGS:68408efbd4be022b9cea5d84", "biota", "land cover"], "modified": "2026-05-13T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-99.6768, 25.3755, -96.6255, 27.0114", "theme": ["geospatial"], "title": "Land cover dataset for the Lower Rio Grande Valley (2023)"}