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Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

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These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with 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. The files are used with the Geothermal Exploration Artificial Intelligence for the Salton Sea Geothermal Site 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 Salton Sea Geothermal Site.

Citation Formats

TY - DATA AB - These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with 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. The files are used with the Geothermal Exploration Artificial Intelligence for the Salton Sea Geothermal Site 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 Salton Sea Geothermal Site. AU - Moraga, Jim A2 - Cavur, Mahmut A3 - Soydan, Hilal A4 - Duzgun, H. Sebnem A5 - Jin, Ge DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1797283 KW - geothermal KW - energy KW - geodatabase KW - Salton Sea KW - artificial intelligence KW - ai KW - deep learning KW - machine learning KW - seismic KW - remote sensing KW - hyperspectral KW - hyperspectral imaging KW - geospacial database 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 - California KW - ArcGis KW - GIS KW - model KW - database KW - hydrothermal KW - geophysics KW - radar KW - blind KW - blind system KW - deformation KW - geophysical KW - conceptual model 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 - Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence UR - https://doi.org/10.15121/1797283 ER -
Export Citation to RIS
Moraga, Jim, et al. Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, 27 April, 2021, GDR. https://doi.org/10.15121/1797283.
Moraga, J., Cavur, M., Soydan, H., Duzgun, H., & Jin, G. (2021). Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence. [Data set]. GDR. Colorado School of Mines. https://doi.org/10.15121/1797283
Moraga, Jim, Mahmut Cavur, Hilal Soydan, H. Sebnem Duzgun, and Ge Jin. Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, April, 27, 2021. Distributed by GDR. https://doi.org/10.15121/1797283
@misc{OEDI_Dataset_7424, title = {Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence}, author = {Moraga, Jim and Cavur, Mahmut and Soydan, Hilal and Duzgun, H. Sebnem and Jin, Ge}, abstractNote = {These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with 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. The files are used with the Geothermal Exploration Artificial Intelligence for the Salton Sea Geothermal Site 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 Salton Sea Geothermal Site.}, url = {https://gdr.openei.org/submissions/1306}, year = {2021}, howpublished = {GDR, Colorado School of Mines, https://doi.org/10.15121/1797283}, note = {Accessed: 2025-04-24}, doi = {10.15121/1797283} }
https://dx.doi.org/10.15121/1797283

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

Hilal Soydan

Colorado School of Mines

H. Sebnem Duzgun

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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