{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Khalid Hussein", "hasEmail": "mailto:Khalid.Hussein@colorado.edu"}, "dataQuality": true, "description": "This report outlines the approach and methodology of the utilization of thermal satellite imagery to find areas of warm ground that might indicate heat flow from a buried geothermal system. The satellite platforms, modeling equations and corrections to the data are discussed. Some specific findings from the survey are shown, together with conclusions.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/333/Flint_Project_Final_Report_12_26_2012.pdf", "description": "Report including background information, methodology, target areas as found by the survey, a discussion of the results, conclusions, and recommendations.", "format": "pdf", "mediaType": "application/pdf", "title": "Final Report.pdf"}], "identifier": "https://data.openei.org/submissions/6671", "issued": "2012-12-26T07:00:00Z", "keyword": ["ASTER", "CIRES", "Colorado", "Remote sensing", "Thermal imagery", "deep resource wells", "geothermal", "geothermal potential", "identify", "potential", "target areas"], "landingPage": "https://gdr.openei.org/submissions/333", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2017-06-06T15:12:25Z", "programCode": ["019:006"], "projectLead": "Mark Ziegenbein", "projectNumber": "EE0002828", "projectTitle": "Recovery Act: Use Remote Sensing Data (selected visible and infrared spectrums) to locate high temp ground anomalies in Colorado.Confirm heat flow potential w/ on-site temp surveys to drill deep resource wells", "publisher": {"@type": "org:Organization", "name": "Flint Geothermal, LLC"}, "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-108.9718796875,36.967672123864],[-102.1274984375,36.967672123864],[-102.1274984375,41.008303547852],[-108.9718796875,41.008303547852],[-108.9718796875,36.967672123864]]]}", "title": "Identifying and Delineating Thermally Active Areas in Colorado Using Thermal Remote Sensing Data"}