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Brady Geodatabase for Geothermal Exploration Artificial Intelligence
OwnerNational Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updatedabout 1 year ago
Overview

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.

AIArcGISBradyBrady WellBrady hot springsGISLSTNevadaSVMSWIRanomaly detectionartificial intelligenceblindblind systemconceptual modeldatabasedeep learningdeformationenergyexplorationfaultfield datageodatabasegeophysicalgeophysicsgeospatial datageospatial databasegeothermalgeothermal site detectionhydrothermalhyperspectralhyperspectral imagingland surface temperaturemachine learningmodelpreprocessedprocessed dataradarrasterraw dataremote sensingseismicshort wavelength infraredsite detectionsupport vector machinevectorwell
Additional Information
KeyValue
dcat_issued2021-04-27T06:00:00Z
dcat_modified2021-09-07T17:48:14Z
dcat_publisher_nameColorado School of Mines
guidhttps://data.openei.org/submissions/4089
ib1_trust_framework[]
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