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ASTER Thermal Anomalies in Western Colorado

Jan 01, 2013
6.1 kB
Publicly accessible
This layer contains the areas identified as areas of anomalous surface temperature from ASTER satellite imagery. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. Areas that had temperature greater than 2o, and ar...
Authors
E., R. Flint Geothermal, LLC
geothermalcoloradoremote sensingastergisshapefileshape filegeospatialarcgisgeospatial dataanomaly detectionsurface anomalysurface temperaturealgorithmthermal anomaliessurface exposures

Remotely Sensed Thermal Anomalies in Western Colorado

Feb 01, 2012
6.23 kB
Publicly accessible
This layer contains the areas identified as areas of anomalous surface temperature from Landsat satellite imagery in Western Colorado. Data was obtained for two different dates. The digital numbers of each Landsat scene were converted to radiance and the temperature was calculated...
Authors
Hussein, K. Flint Geothermal, LLC
geothermallandsatasterthermal infraredcoloradoremote sensingarcgisgisshapefileshape filegeospatial datadataanomaly detectionsatellite imagerysurface temperaturethermal anomalies

Areas of Weakly Anomalous to Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data

Feb 01, 2012
186.89 kB
Publicly accessible
This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater th...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradosaguache countyalamosa countyremote sensingasterthermal infraredshape filegeospatialdatageospatial layershapefilearcgisgisgeospatial dataanomaly detectiontemperaturethermal anomaly

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

Feb 01, 2012
2.14 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalremote sensingastercoloradothermal infraredalamosa countysaguache countymapsurface temperature anomaliesthermal anomalies

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

Feb 01, 2012
2.39 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradoarcheluta countyremote sensingasterthermal infraredmapsurface temperature anomaliesthermal anomalies

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

Feb 01, 2012
2.33 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradodolores countyasterthermal infraredremote sensingmapsurface temperature anomaliesthermal anomalies

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Fremont County, Colorado

Feb 01, 2012
2.64 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradofremont countyasterremote sensingthermal infraredmapsurface temperature anomaliesthermal anomalies

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Routt County, Colorado

Feb 01, 2012
1.94 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradoroutt countyasterremote sensingthermal infraredmapsurface temperature anomaliesthermal anomalies

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, San Miguel County, Colorado

Feb 01, 2012
1.57 MB
Publicly accessible
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradosan miguel countyremote sensingasterthermal infraredmapthermal anomaliessurface temperature anomalies

Identifying and Delineating Thermally Active Areas in Colorado Using Thermal Remote Sensing Data

Dec 26, 2012
3.26 MB
Publicly accessible
This report outlines the approach and methodology of the utilization of thermal satellite imagery to find areas of warm ground that might indicate heat flow from a buried geothermal system. The satellite platforms, modeling equations and corrections to the data are discussed. Some...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradociresasterremote sensingthermal imagerygeothermal potentialdeep resource wellsidentifypotentialtarget areas

First Priority Geothermal Target Areas as Identified by ASTER and LANDSAT Thermal Imaging of Parts of Colorado

Feb 01, 2012
7.08 MB
Publicly accessible
The CIRES remote sensing unit of the University of Colorado was commissioned by Flint Geothermal LLC to identify areas of warm ground that could signify the thermal signature of "blind" geothermal systems. Using ASTER and LANDSAT data along with other characteristics considered fa...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalcoloradothermal infraredasterlandsatremote sensingpotential siteschaffee countydelta countyeagle countygarfield countypark countyroutt county

Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques

Feb 01, 2012
273.17 kB
Publicly accessible
This layer contains the areas identified as targets of potential geothermal activity. The Criteria used to identify the target areas include: hot/warm surface exposures modeled from ASTER/Landsat satellite imagery and geological characteristics, alteration mineral commonly associa...
Authors
Hussein, K. Flint Geothermal, LLC
geothermalremote sensingcoloradothermal infraredtarget areasarcgisgisshapefileshape filegeospatialdatageospatial datahot springsthermal anomalies

Utah FORGE 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Apr 29, 2022
17.77 MB
Publicly accessible
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyinsarground deformationcompressional velocity modelegsremote sensingwell characterizationwell 16awell 16butah forge

Brady Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
179.02 GB
Publicly accessible
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-proces...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasebrady hot springsbradyartificial intelligenceaibrady wellseismicremote sensinghyperspectralgeospatial databasedeep learningmachine learningexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datanevadaarcgismodeldatabasehydrothermalgeophysicsradargisblindblind systemdeformationgeophysicalhyperspectral imagingconceptual modelfaultpreprocessedrastervectorfield datageospatial data

Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
59.5 GB
Publicly accessible
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasenevadadesert peakartificial intelligenceairaw dataprocessed dataremote sensinghyperspectralmachine learningdeep learningexplorationarcgismodelsite detectionanomaly detectiongeothermal site detectiondatabasehydrothermalgeophysicsradarshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellgisblindblind systemhyperspectral imaginggeophysicaldeformationconceptual modelfaultpreprocessedgeospatial data

Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

Apr 27, 2021
148.82 GB
Publicly accessible
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Authors
Moraga, J. et al Colorado School of Mines
geothermalenergygeodatabasesalton seaartificial intelligenceaideep learningmachine learningseismicremote sensinghyperspectralhyperspectral imaginggeospacial databaseexplorationsite detectiongeothermal site detectionanomaly detectionshort wavelength infraredswirsupport vector machinesvmland surface temperaturelstwellraw dataprocessed datacaliforniaarcgisgismodeldatabasehydrothermalgeophysicsradarblindblind systemdeformationgeophysicalconceptual model faultpreprocessedrastervectorfield datageospatial data

Nevada Great Basin Play Fairway Analysis Reports & Appendices

Oct 28, 2015
52.81 MB
Publicly accessible
This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...
Authors
Faulds, J. et al Nevada Bureau of Mines and Geology
geothermalnevadaplay fairwayreportappendicesgreat basinnbmgnvpfacarson sinksteptoe valleygeophysicsgeophysicalgeologygeologiclidargeochemicalgravityseismic reflectionmtmagnetotelluricsgeodeticgeodesyshallow temperaturesoil gasslip and dilation tendancy3d modelingthermal modelingexplorationresource assessmentresource potentialinvestigationsurveypreliminarysite assessmentfavorabilitynv great basin

Silver Peak Innovative Exploration Project (Ram Power Inc.)

Jan 01, 2010
463.6 MB
Publicly accessible
Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...
Authors
Miller, C. Ram Power, Inc.
geothermalsilver peakgravitymagneticmtradiometricsregional temperatureremote sensingresource modelseismicfluid datawell dataphotosgeologywalker lanelate miocenepliocenelone mountainesmeralda countynevadagravity surveygridterrain5km10kmupward continued regional residualbougerhorizontal gravity gradientnorth americaimperial countymagnetic reporttmiigrftotal magentic intensitymagnetotelluric surveymt surveyresistivity3dground mtztemradiometric survey silver peak20102011temperatureshallow temperature gradienttemperature gradient holestghasterphotographs2dseismic reflection surveyfaultsmesquitefluidchemistrygeologymapgeospatial data

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython
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