Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

Description

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

Resources

Name Format Description Link
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/desert_som_output.gri.ovr
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/desert_som_output.hdr
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.grd
55 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.grd.xml
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.stx
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.hdr
48 Results of machine learning classification of the Brady Springs-trained model https://gdr.openei.org/files/1288/brady_classification.tif
48 Results of machine learning classification of Desert Peak using the Brady-trained model https://gdr.openei.org/files/1288/b2d_classification.tif
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/desert_som_output.grd
48 Results of machine learning classification of Brady using the Desert Peak-trained model https://gdr.openei.org/files/1288/d2b_classification.tif
55 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/desert_som_output.gri.aux.xml
48 Results of machine learning classification of the Desert Peak-trained model https://gdr.openei.org/files/1288/desert_classification.tif
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.gri
0 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/desert_som_output.gri
57 Compressed file with all input files for training and testing the AI https://gdr.openei.org/files/1288/AI-Geothermal_InputFiles.zip
55 Labeled dataset, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model https://gdr.openei.org/files/1288/brady_som_output.grd.aux.xml

Tags

  • land-surface-temperature
  • hydrothermal-mineral-alterations
  • geospatial-data
  • uplift
  • hydrothermal
  • mineral
  • subsidence
  • psinsar
  • fault-density
  • fallon
  • model
  • convolutional-neural-network
  • geothermal-exploration
  • raster
  • brady-hot-springs
  • desert-peak
  • temperature
  • geotiff
  • machine-learning
  • nevada
  • geothermal
  • energy

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Categories