Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
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.
Citation Formats
TY - DATA
AB - 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.
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 - 10.15121/1797282
KW - geothermal
KW - energy
KW - geodatabase
KW - Nevada
KW - Desert Peak
KW - artificial intelligence
KW - AI
KW - raw data
KW - processed data
KW - remote sensing
KW - hyperspectral
KW - machine learning
KW - deep learning
KW - exploration
KW - ArcGIS
KW - model
KW - site detection
KW - anomaly detection
KW - geothermal site detection
KW - database
KW - hydrothermal
KW - geophysics
KW - radar
KW - short wavelength infrared
KW - SWIR
KW - Support Vector Machine
KW - SVM
KW - land surface temperature
KW - LST
KW - well
KW - GIS
KW - blind
KW - blind system
KW - hyperspectral imaging
KW - geophysical
KW - deformation
KW - conceptual model
KW - fault
KW - preprocessed
KW - geospatial data
LA - English
DA - 2021/04/27
PY - 2021
PB - Colorado School of Mines
T1 - Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
UR - https://doi.org/10.15121/1797282
ER -
Moraga, Jim, et al. Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, 27 April, 2021, GDR. https://doi.org/10.15121/1797282.
Moraga, J., Cavur, M., Soydan, H., Duzgun, H., & Jin, G. (2021). Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence. [Data set]. GDR. Colorado School of Mines. https://doi.org/10.15121/1797282
Moraga, Jim, Mahmut Cavur, Hilal Soydan, H. Sebnem Duzgun, and Ge Jin. Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence. Colorado School of Mines, April, 27, 2021. Distributed by GDR. https://doi.org/10.15121/1797282
@misc{OEDI_Dataset_7423,
title = {Desert Peak 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 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.},
url = {https://gdr.openei.org/submissions/1305},
year = {2021},
howpublished = {GDR, Colorado School of Mines, https://doi.org/10.15121/1797282},
note = {Accessed: 2025-05-29},
doi = {10.15121/1797282}
}
https://dx.doi.org/10.15121/1797282
Details
Data from Apr 27, 2021
Last updated Jul 9, 2021
Submitted Apr 28, 2021
Organization
Colorado School of Mines
Contact
Jim Moraga
303.273.3768
Authors
Original Source
https://gdr.openei.org/submissions/1305Research Areas
Keywords
geothermal, energy, geodatabase, Nevada, Desert Peak, artificial intelligence, AI, raw data, processed data, remote sensing, hyperspectral, machine learning, deep learning, exploration, ArcGIS, model, site detection, anomaly detection, geothermal site detection, database, hydrothermal, geophysics, radar, short wavelength infrared, SWIR, Support Vector Machine, SVM, land surface temperature, LST, well, GIS, blind, blind system, hyperspectral imaging, geophysical, deformation, conceptual model, fault, preprocessed, geospatial dataDOE Project Details
Project Name Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
Project Lead Mike Weathers
Project Number EE0008760
