OwnerNational Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updatedabout 1 year ago
OverviewAIArcGISDesert PeakGISLSTNevadaSVMSWIRSupport Vector Machineanomaly detectionartificial intelligenceblindblind systemconceptual modeldatabasedeep learningdeformationenergyexplorationfaultgeodatabasegeophysicalgeophysicsgeospatial datageothermalgeothermal site detectionhydrothermalhyperspectralhyperspectral imagingland surface temperaturemachine learningmodelpreprocessedprocessed dataradarraw dataremote sensingshort wavelength infraredsite detectionwell
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.
Additional Information
KeyValue
dcat_issued2021-04-27T06:00:00Z
dcat_modified2021-07-09T14:35:57Z
dcat_publisher_nameColorado School of Mines
guidhttps://data.openei.org/submissions/4090
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