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

Data and Resources

Field Value
DOI 10.15121/1787330
accessLevel public
bureauCode {019:20}
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dataQuality true
identifier https://data.openei.org/submissions/4080
issued 2021-04-27T06:00:00Z
landingPage https://gdr.openei.org/submissions/1307
license https://creativecommons.org/licenses/by/4.0/
modified 2021-06-09T21:22:13Z
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programCode {019:006}
projectLead Mike Weathers
projectNumber EE0008760
projectTitle Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
publisher Colorado School of Mines
resource-type Dataset
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • ai
  • amerigeo
  • amerigeoss
  • anomaly-detection
  • artificial-intelligence
  • blind
  • ckan
  • code
  • deep-learning
  • energy
  • exploration
  • geo
  • geoss
  • geothermal
  • geothermal-ai
  • geothermal-exploration
  • k-mean
  • k-means
  • land-surface-temperature
  • landsat-adr-lst
  • lst
  • machine-learning
  • national
  • north-america
  • numpy
  • python
  • r_
  • raster
  • remote-sensing
  • sbatch
  • self-organizing-map
  • shell
  • shell-scripts
  • site-detection
  • slurm
  • tensorflow
  • united-states
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Jim Moraga
maintainer_email jmoraga@mines.edu
metadata_created 2025-11-20T18:54:20.621204
metadata_modified 2025-11-20T18:54:20.621209
notes 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
num_resources 11
num_tags 37
title Programs and Code for Geothermal Exploration Artificial Intelligence