Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs including Radar, SWIR, Thermal, Geophysics, Geology, and Wells. The files for the Desert Peak Geothermal Site are used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems. The included zip file is a geodatabase to be used with ArcGIS and the tar file is an inclusive database that encompasses the inputs and outputs for the Desert Peak Geothermal Field.
Resources
3 resources available
-
Geodatabase Design.docx
DOCX -
Desert Peak Geodatabase Files.tar
TAR -
Desert Peak ArcGIS Geodatabase.zip
ZIP
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "Jim Moraga", "@type": "vcard:Contact", "hasEmail": "mailto:jmoraga@mines.edu" } |
| dataQuality |
true
|
| description | These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs including Radar, SWIR, Thermal, Geophysics, Geology, and Wells. The files for the Desert Peak Geothermal Site are used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems. The included zip file is a geodatabase to be used with ArcGIS and the tar file is an inclusive database that encompasses the inputs and outputs for the Desert Peak Geothermal Field. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Geodatabase Design.docx", "format": "docx", "accessURL": "https://gdr.openei.org/files/1303/Geodatabase%20Design.docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "description": "A design model that outlines the structure and design of the geodatabases used by the Geothermal Exploration Artificial Intelligence which includes the Desert Peak Geothermal Field." }, { "@type": "dcat:Distribution", "title": "Desert Peak Geodatabase Files.tar", "format": "tar", "accessURL": "https://gdr.openei.org/files/1305/DesertPeakGDB.tar", "mediaType": "application/octet-stream", "description": "Desert Peak Geothermal Field Geodatabase as files. The database includes raw, pre-processed , and post-processed data, each with the six raster catalog types. Directory structure follows the geodatabase standard structure found in the Goedatabase Design Document." }, { "@type": "dcat:Distribution", "title": "Desert Peak ArcGIS Geodatabase.zip", "format": "zip", "accessURL": "https://gdr.openei.org/files/1305/DesertPeak_geodatabase.zip", "mediaType": "application/zip", "description": "Geodatabase to use with ArcGIS. Includes geodatabase files (.gdb) that can be brought in to ArcGIS from the raw, pre-processed, and post-processed data categories." } ] |
| DOI | 10.15121/1797282 |
| identifier | https://data.openei.org/submissions/7423 |
| issued | 2021-04-27T06:00:00Z |
| keyword |
[ "AI", "ArcGIS", "Desert Peak", "GIS", "LST", "Nevada", "SVM", "SWIR", "Support Vector Machine", "anomaly detection", "artificial intelligence", "blind", "blind system", "conceptual model", "database", "deep learning", "deformation", "energy", "exploration", "fault", "geodatabase", "geophysical", "geophysics", "geospatial data", "geothermal", "geothermal site detection", "hydrothermal", "hyperspectral", "hyperspectral imaging", "land surface temperature", "machine learning", "model", "preprocessed", "processed data", "radar", "raw data", "remote sensing", "short wavelength infrared", "site detection", "well" ] |
| landingPage | https://gdr.openei.org/submissions/1305 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2021-07-09T14:35:57Z |
| programCode |
[ "019:006" ] |
| projectLead | Mike Weathers |
| projectNumber | EE0008760 |
| projectTitle | Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning |
| publisher |
{ "name": "Colorado School of Mines", "@type": "org:Organization" } |
| spatial |
"{"type":"Polygon","coordinates":[[[-119.15,39.55],[-118.75,39.55],[-118.75,39.95],[-119.15,39.95],[-119.15,39.55]]]}"
|
| title | Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence |
