Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including: - Land Surface Temperature K-Means classifier - Labeling AI using Self Organizing Maps (SOM) - Post-processing for Permanent Scatterer InSAR (PSInSAR) analysis with SOM - Mineral marker summarizing - Artificial Intelligence (AI) Data splitting: creates data set from a single raster file - Artificial Intelligence Model: creates AI from a single data set, after splitting in Train, Validation and Test subsets - AI Mapper: creates a classification map based on a raster file
- Research Organization:
- USDOE Geothermal Data Repository (United States); Colorado School of Mines, Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Contributing Organization:
- Colorado School of Mines
- DOE Contract Number:
- EE0008760
- OSTI ID:
- 1787330
- Report Number(s):
- 1307
- Availability:
- GDRHelp@ee.doe.gov
- Country of Publication:
- United States
- Language:
- English
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geothermal
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remote sensing
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