Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Published by Colorado School of Mines | Department of Energy | Metadata Last Checked: June 28, 2025 | Last Modified: 2021-09-07T17:48:14Z

These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs which are titled Radar, SWIR, Thermal, Geophysics, Geology, and Wells. These inputs and outputs were used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems at the Brady Hot Springs Geothermal Site. 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 Brady Hot Springs Geothermal Site.

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AI ArcGIS Brady Brady Well Brady hot springs GIS LST Nevada SVM SWIR anomaly detection artificial intelligence blind blind system conceptual model database deep learning deformation energy exploration fault field data geodatabase geophysical geophysics geospatial data geospatial database geothermal geothermal site detection hydrothermal hyperspectral hyperspectral imaging land surface temperature machine learning model preprocessed processed data radar raster raw data remote sensing seismic short wavelength infrared site detection support vector machine vector well

Complete Metadata

bureauCode	[ "019:20" ]
dataQuality	true
DOI	10.15121/1797281
identifier	https://data.openei.org/submissions/7422
issued	2021-04-27T06:00:00Z
landingPage	https://gdr.openei.org/submissions/1304
programCode	[ "019:006" ]
projectLead	Mike Weathers
projectNumber	EE0008760
projectTitle	Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
spatial	{"type":"Polygon","coordinates":[[[-119.2167,39.5883],[-118.8167,39.5883],[-118.8167,39.9883],[-119.2167,39.9883],[-119.2167,39.5883]]]}

Location