TY - DATA AB - The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: - brady_som_output.gri, brady_som_output.grd, brady_som_output.* - desert_som_output.gri, desert_som_output.grd, desert_som_output.* The data corresponds to two sites: Brady Hot Springs and Desert Peak, both located near Fallon, NV. Input layers include: - Geothermal: Labeled data (0: Non-geothermal; 1: Geothermal) - Minerals: Hydrothermal mineral alterations, as a result of spectral analysis using Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite - Temperature: Land surface temperature (% of times a pixel was classified as "Hot" by K-Means) - Faults: Fault density with a 300mradius - Subsidence: PSInSAR results showing subsidence displacement of more than 5mm - Uplift: PSInSAR results showing subsidence displacement of more than 5mm Also, the results of the classification using Brady and Desert Peak to build 2 Convolutional Neural Networks. These were applied to the training site as well as the other site, the results are in GeoTiff format. - brady_classification: Results of classification of the Brady-trained model - desert_classification: Results of classification of the Desert Peak-trained model - b2d_classification: Results of classification of Desert Peak using the Brady-trained model - d2b_classification: Results of classification of Brady using the Desert Peak-trained model AU - Moraga, Jim AU - Cavur, Mahmut AU - Duzgun, H. Sebnem AU - Soydan, Hilal DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1773692 KW - geothermal KW - energy KW - geothermal exploration KW - hydrothermal mineral alterations KW - land surface temperature KW - fault density KW - PSInSAR KW - Subsidence KW - Uplift KW - Brady Hot Springs KW - Desert Peak KW - Nevada KW - convolutional neural network KW - Fallon KW - machine learning KW - model KW - hydrothermal KW - mineral KW - temperature KW - raster KW - geospatial data KW - GeoTIFF LA - English DA - 2020/09/01 PY - 2020 PB - Colorado School of Mines T1 - Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak UR - https://doi.org/10.15121/1773692 ER -