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Brady Geodatabase for Geothermal Exploration Artificial Intelligence

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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

TY - DATA AB - 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. AU - Moraga, Jim A2 - Cavur, Mahmut A3 - Duzgun, H. Sebnem A4 - Soydan, Hilal A5 - Jin, Ge DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1797281 KW - geothermal KW - energy KW - geodatabase KW - Brady hot springs KW - Brady KW - artificial intelligence KW - AI KW - Brady Well KW - seismic KW - remote sensing KW - hyperspectral KW - geospatial database KW - deep learning KW - machine learning KW - exploration KW - site detection KW - geothermal site detection KW - anomaly detection KW - short wavelength infrared KW - SWIR KW - support vector machine KW - SVM KW - land surface temperature KW - LST KW - well KW - raw data KW - processed data KW - Nevada KW - ArcGIS KW - model KW - database KW - hydrothermal KW - geophysics KW - radar KW - GIS KW - blind KW - blind system KW - deformation KW - geophysical KW - hyperspectral imaging KW - conceptual model KW - fault KW - preprocessed KW - raster KW - vector KW - field data KW - geospatial data LA - English DA - 2021/04/27 PY - 2021 PB - Colorado School of Mines T1 - Brady Geodatabase for Geothermal Exploration Artificial Intelligence UR - https://doi.org/10.15121/1797281 ER -
Export Citation to RIS
Moraga, Jim, et al. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, 27 April, 2021, GDR. https://doi.org/10.15121/1797281.
Moraga, J., Cavur, M., Duzgun, H., Soydan, H., & Jin, G. (2021). Brady Geodatabase for Geothermal Exploration Artificial Intelligence. [Data set]. GDR. Colorado School of Mines. https://doi.org/10.15121/1797281
Moraga, Jim, Mahmut Cavur, H. Sebnem Duzgun, Hilal Soydan, and Ge Jin. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, April, 27, 2021. Distributed by GDR. https://doi.org/10.15121/1797281
@misc{OEDI_Dataset_7422, title = {Brady Geodatabase for Geothermal Exploration Artificial Intelligence}, author = {Moraga, Jim and Cavur, Mahmut and Duzgun, H. Sebnem and 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.}, url = {https://gdr.openei.org/submissions/1304}, year = {2021}, howpublished = {GDR, Colorado School of Mines, https://doi.org/10.15121/1797281}, note = {Accessed: 2025-05-06}, doi = {10.15121/1797281} }
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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