{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Tanja N Williamson", "hasEmail": "mailto:tnwillia@usgs.gov"}, "description": "Image library of (1) tile-drained landscapes and (2) tile-drain types used for training a machine-learning model that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView, Quickbird, and GeoEye satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9KSZ382", "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.5e8c855e82cee42d13465d00.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5e8c855e82cee42d13465d00", "keyword": ["Anthropocene", "Great Lakes", "Holocene", "USGS:5e8c855e82cee42d13465d00", "Western Lake Erie", "agriculture"], "modified": "2023-06-01T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-88.26416015631, 40.218812379331, -82.902832031523, 44.627692727744", "theme": ["geospatial"], "title": "Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)"}