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DOE OSTI · 1787330

Programs and Code for Geothermal Exploration Artificial Intelligence

Moraga, Jim
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Abstract

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

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15 GEOTHERMAL ENERGYAIanomaly detectionartificial intelligenceblindcodedeep learningenergyexplorationgeothermalGeothermal AIgeothermal explorationk meanK-Meansland surface temperatureLandsat ADR LSTLSTMachine LearningNumPyPythonRrasterremote sensingsbatchSelf Organizing MapShellShell scriptssite detectionSLURMTensorFlow

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Moraga, Jim. 2021-04-27. Programs and Code for Geothermal Exploration Artificial Intelligence. https://doi.org/10.15121/1787330

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