Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques
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 associated with hot springs (clays, Si, and FeOx) modeled from ASTER and Landsat data, Colorado Geological Survey (CGS) known thermal hot springs/wells and heat-flow data points, Colorado deep-seated fault zones, weakened basement identified from isostatic gravity data, and Colorado sedimentary and topographic characteristics.
Citation Formats
TY - DATA
AB - 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 associated with hot springs (clays, Si, and FeOx) modeled from ASTER and Landsat data, Colorado Geological Survey (CGS) known thermal hot springs/wells and heat-flow data points, Colorado deep-seated fault zones, weakened basement identified from isostatic gravity data, and Colorado sedimentary and topographic characteristics.
AU - Hussein, Khalid
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1148761
KW - geothermal
KW - Remote Sensing
KW - Colorado
KW - Thermal Infrared
KW - Target Areas
KW - ArcGIS
KW - GIS
KW - shapefile
KW - shape file
KW - geospatial
KW - data
KW - geospatial data
KW - hot springs
KW - thermal anomalies
LA - English
DA - 2012/02/01
PY - 2012
PB - Flint Geothermal, LLC
T1 - Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques
UR - https://doi.org/10.15121/1148761
ER -
Hussein, Khalid. Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques. Flint Geothermal, LLC, 1 February, 2012, GDR. https://doi.org/10.15121/1148761.
Hussein, K. (2012). Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques. [Data set]. GDR. Flint Geothermal, LLC. https://doi.org/10.15121/1148761
Hussein, Khalid. Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques. Flint Geothermal, LLC, February, 1, 2012. Distributed by GDR. https://doi.org/10.15121/1148761
@misc{OEDI_Dataset_6642,
title = {Geothermal Target Areas in Colorado as Identified by Remote Sensing Techniques},
author = {Hussein, Khalid},
abstractNote = {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 associated with hot springs (clays, Si, and FeOx) modeled from ASTER and Landsat data, Colorado Geological Survey (CGS) known thermal hot springs/wells and heat-flow data points, Colorado deep-seated fault zones, weakened basement identified from isostatic gravity data, and Colorado sedimentary and topographic characteristics.
},
url = {https://gdr.openei.org/submissions/304},
year = {2012},
howpublished = {GDR, Flint Geothermal, LLC, https://doi.org/10.15121/1148761},
note = {Accessed: 2025-05-10},
doi = {10.15121/1148761}
}
https://dx.doi.org/10.15121/1148761
Details
Data from Feb 1, 2012
Last updated Aug 23, 2021
Submitted Feb 26, 2014
Organization
Flint Geothermal, LLC
Contact
Khalid Hussein
303.492.6782
Authors
Original Source
https://gdr.openei.org/submissions/304Research Areas
Keywords
geothermal, Remote Sensing, Colorado, Thermal Infrared, Target Areas, ArcGIS, GIS, shapefile, shape file, geospatial, data, geospatial data, hot springs, thermal anomaliesDOE Project Details
Project Name Recovery Act: Use Remote Sensing Data (selected visible and infrared spectrums) to locate high temp ground anomalies in Colorado.Confirm heat flow potential w/ on-site temp surveys to drill deep resource wells
Project Lead Mark Ziegenbein
Project Number EE0002828
