Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields
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
Citation Formats
Colorado School of Mines. (2021). Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields [data set]. Retrieved from https://dx.doi.org/10.15121/1824162.
Moraga, Jim. Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields. United States: N.p., 01 Oct, 2021. Web. doi: 10.15121/1824162.
Moraga, Jim. Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields. United States. https://dx.doi.org/10.15121/1824162
Moraga, Jim. 2021. "Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields". United States. https://dx.doi.org/10.15121/1824162. https://gdr.openei.org/submissions/1334.
@div{oedi_4507, 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}, url = {https://gdr.openei.org/submissions/1334}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {10}}
https://dx.doi.org/10.15121/1824162
Details
Data from Oct 1, 2021
Last updated Oct 6, 2021
Submitted Oct 2, 2021
Organization
Colorado School of Mines
Contact
Jim Moraga
303.273.3768
Authors
Original Source
https://gdr.openei.org/submissions/1334Research Areas
Keywords
geothermal, energy, hydrothermal mineral alterations, mineral markers, HyMap, Brady, Desert Peak, data fusion, geospatial data, mineral alterations, spectral analysis, target detection, remote sensing, data, processed data, geothermal area, NevadaDOE Project Details
Project Name Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
Project Lead Mike Weathers
Project Number EE0008760
