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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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12 Resources
0 Stars
Publicly accessible
Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA.
Explanation of pair subdirectories:
Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011).
...
Reinisch, E. and Feigl, K. University of Wisconsin
Jun 25, 2019
4 Resources
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4 Resources
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Porotomo: InSAR Data from San Emidio Geothermal Field, Nevada, 1992-2010
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering San Emidio Geothermal Field in Nevada, USA as part of the porotomo project. Data included within this submission are the following:
> ENVI_T120_GDR.tgz: Tarred direc...
Reinisch, E. and Feigl, K. University of Wisconsin
Jun 25, 2019
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible