{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Devendra Dahal (CTR)", "hasEmail": "mailto:devendra.dahal.ctr@usgs.gov"}, "description": "In support of mapping ecological conditions (e.g. invasive annual grass) in sagebrush-dominated landscapes of the western United States, we developed weekly (starting from week 7 to week 42 and Week 1 starts January 1 or Day of the year 1 to  7, week 2 is from Day of year 8  to 14, and so on) 30-m cloud-free Normalized Difference Vegetation Index (NDVI) from 2016 to 2019. The data was generated with machine-learning techniques (i.e., regression tree [RT]) and harmonized Landsat and Sentinel -2 (HLS) data. The geographic coverage includes areas in the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. This NDVI collection allows for local-scale detection and analysis such as, fuel breaks in sagebrush ecosystem and wildfire activity, that are not possible with coarse scale datasets (such as 250-m).", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9KKPT07", "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.5f03674c82ce0afb2446e043.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f03674c82ce0afb2446e043", "keyword": ["biota", "rangeland ecosystems", "imageryBaseMapsEarthCover", "modeling", "NDVI", "geospatial datasets", "Remote Sensing", "USGS:5f03674c82ce0afb2446e043", "machine learning"], "modified": "2021-04-22T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-126.0168, 34.5596, -103.5897, 49.9572", "theme": ["geospatial"], "title": "Weekly cloud free Harmonized Landsat Sentinel (HLS) Normalized Difference Vegetation Index (NDVI) estimates for  western United States (2016 \u2013 2019)."}