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Remote Sensing and Geology of Glass Buttes, Oregon

Jun 21, 2010
254.06 MB
Publicly accessible
This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT. The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 ac...
Authors
Akerley, J. et al Ormat Nevada Inc
geothermaloregonglass butteslidarremote sensinglake countycolor compositecolour compositeminimum noise fractionmnfmineral mapgeologic mapvolcanicgeologycross sectionhyperspectral remote sensinghymaplight detection and rangingairborne surveyinstrumentation and methodsground surveygps dataimu datainertial measurementlaser point processingpoint datavector dataraster datadata reportprojectionvolcanic complex

Brady Geothermal 1D Seismic Velocity Model

Feb 17, 2015
90.17 kB
Publicly accessible
This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
Authors
Matzel, E. Lawrence Livermore National Laboratory
geothermalseismic velocity modelinsarambient noisebrady geothermal seismic modelseismicseismic velocity1d

PoroTomo: Brady Geothermal Field InSAR Data

Jul 11, 2017
Size unavailable
Publicly accessible
Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for Terr...
Authors
Reinisch, E. University of Wisconsin
geothermalenergyinsarporotomobrady hot springsbrady geothermal fieldnevadaterrasar-xtsxsentinel-1as1aland subsidencebradydigital elevation model

Porotomo: InSAR Data from San Emidio Geothermal Field, Nevada, 1992-2010

Jun 25, 2019
219.34 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering San Emidio Geothermal Field in Nevada, USA as part of the porotomo project. Data included within this submission are the following: > ENVI_T120_GDR.tgz: Tarred direc...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergysan emidiointerferometric synthetic aperture radarinsarenvisatenviersdemremote sensinginterferometricsynthetic aperture radarpairdigital elevation modelsatellitedeformationporotomonterferometric synthetic aperture radarinterferogramsgmt5sargoldstein filteruniversal transverse mercatorraw synthetic aperture radarsarwinsarunavcoeuropean space agencysqueesareasting gradient filesgeospatial data

Envisat Track 349 and Sentinel-1A Track 64 Interferometric Synthetic Aperture Radar Data of Coso Geothermal Field, California, USA, 2004-2016

Jun 25, 2019
648.26 MB
Publicly accessible
This submission contains tarred pair directories for interferometric synthetic aperture radar (InSAR) data covering Coso Geothermal Field in California, USA. Explanation of pair subdirectories: Pairs are formed using the InSAR processing software GMT5SAR (Sandwell et al., 2011). ...
Authors
Reinisch, E. and Feigl, K. University of Wisconsin
geothermalenergyinsardemcoso geothermal fieldcaliforniaenvienvisats1asentinel-1aremote sensingcosotrack 349track 64pairgmt5sardigital elevation modelraw dataprocessed datageospatial dataphaseporotomocharacterizationhydrothermalhigh temperatureradar

Programs and Code for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
710.72 kB
Publicly accessible
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...
Authors
Moraga, J. Colorado School of Mines
geothermalenergycodershell scriptsgeothermal aimachine learningself organizing mapk-meanspythonaiartificial intelligencedeep learningexplorationgeothermal explorationremote sensingblindsite detectionlstland surface temperaturenumpyrastertensorflowk meananomaly detectionlandsat adr lstsbatchslurmshell

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data