U.S. Department of EnergyOffice of Scientific and Technical Information
Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
Abstract
Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite. Each compressed file includes three raster images created after fusing the target detection results for all minerals: _fusion_all - Contains the 8 layers resulting from target detection and fusion of the 5 minerals _fusion_all_normal - Contains each layer as above, after Winsorization (99% percentile on the positive side only due to skewness of results), and normalization of each layer to achieve a range between [0-1] _fusion_final - Contains a fused raster by sub-setting the normalized layers, with the results of MTMF, MTTCIMF, OSP and SAM. Both CEM and MF were discarded as being less accurate than MTMF, and TCIMF is less accurate than MTTCIMF, ACE results were discarded because they were notably different from the rest of the analyses. The base_names are: brady - Brady geothermal area only desert - Desert Peak geothermal area only hymap - Full image analysis comprising both the Brady and Desert Peak geothermal areas
- Publication Date:
- Other Number(s):
- 1334
- DOE Contract Number:
- EE0008760
- Research Org.:
- DOE Geothermal Data Repository; Colorado School of Mines
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Colorado School of Mines
- Subject:
- 15 GEOTHERMAL ENERGY; Brady; Desert Peak; HyMap; Nevada; data; data fusion; energy; geospatial data; geothermal; geothermal area; hydrothermal mineral alterations; mineral alterations; mineral markers; processed data; remote sensing; spectral analysis; target detection
- OSTI Identifier:
- 1824162
- DOI:
- https://doi.org/10.15121/1824162
Citation Formats
Moraga, Jim. Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields. United States: N. p., 2021.
Web. doi:10.15121/1824162.
Moraga, Jim. Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields. United States. doi:https://doi.org/10.15121/1824162
Moraga, Jim. 2021.
"Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields". United States. doi:https://doi.org/10.15121/1824162. https://www.osti.gov/servlets/purl/1824162. Pub date:Fri Oct 01 04:00:00 UTC 2021
@article{osti_1824162,
title = {Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields},
author = {Moraga, Jim},
abstractNote = {Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite. Each compressed file includes three raster images created after fusing the target detection results for all minerals: _fusion_all - Contains the 8 layers resulting from target detection and fusion of the 5 minerals _fusion_all_normal - Contains each layer as above, after Winsorization (99% percentile on the positive side only due to skewness of results), and normalization of each layer to achieve a range between [0-1] _fusion_final - Contains a fused raster by sub-setting the normalized layers, with the results of MTMF, MTTCIMF, OSP and SAM. Both CEM and MF were discarded as being less accurate than MTMF, and TCIMF is less accurate than MTTCIMF, ACE results were discarded because they were notably different from the rest of the analyses. The base_names are: brady - Brady geothermal area only desert - Desert Peak geothermal area only hymap - Full image analysis comprising both the Brady and Desert Peak geothermal areas},
doi = {10.15121/1824162},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 01 04:00:00 UTC 2021},
month = {Fri Oct 01 04:00:00 UTC 2021}
}