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
- grdbrady_som_output.grd
- XMLbrady_som_output.grd.xml
- XMLbrady_som_output.grd.aux.xml
- stxbrady_som_output.stx
- hdrbrady_som_output.hdr
- tifbrady_classification.tif
- tifb2d_classification.tif
- grddesert_som_output.grd
- tifd2b_classification.tif
- XMLdesert_som_output.gri.aux.xml
- ovrdesert_som_output.gri.ovr
- hdrdesert_som_output.hdr
- tifdesert_classification.tif
- gribrady_som_output.gri
- gridesert_som_output.gri
- ZIPAI-Geothermal_InputFiles.zip