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Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Publicly accessible License 

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.

Citation Formats

Colorado School of Mines. (2021). Brady Geodatabase for Geothermal Exploration Artificial Intelligence [data set]. Retrieved from https://dx.doi.org/10.15121/1797281.
Export Citation to RIS
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, and Jin, Ge. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. United States: N.p., 27 Apr, 2021. Web. doi: 10.15121/1797281.
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, & Jin, Ge. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. United States. https://dx.doi.org/10.15121/1797281
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, and Jin, Ge. 2021. "Brady Geodatabase for Geothermal Exploration Artificial Intelligence". United States. https://dx.doi.org/10.15121/1797281. https://gdr.openei.org/submissions/1304.
@div{oedi_4089, title = {Brady Geodatabase for Geothermal Exploration Artificial Intelligence}, author = {Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, and Jin, Ge.}, abstractNote = {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.}, doi = {10.15121/1797281}, url = {https://gdr.openei.org/submissions/1304}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {04}}
https://dx.doi.org/10.15121/1797281

Details

Data from Apr 27, 2021

Last updated Sep 7, 2021

Submitted Apr 28, 2021

Organization

Colorado School of Mines

Contact

Jim Moraga

303.273.3768

Authors

Jim Moraga

Colorado School of Mines

Mahmut Cavur

Kadir Has Universitesi

H. Sebnem Duzgun

Colorado School of Mines

Hilal Soydan

Colorado School of Mines

Ge Jin

Colorado School of Mines

Research Areas

DOE Project Details

Project Name Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning

Project Lead Mike Weathers

Project Number EE0008760

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