CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado
Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of the University of Colorado) used a hierarchical approach in which we examined data from Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) onboard Landsat platforms and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite to digitally model warm surface exposures. Geological characteristics such as faulting and other available datasets for known thermally active areas in Colorado were used in conjunction with the satellite thermal imagery to rank potential areas of geothermal activity.
Citation Formats
TY - DATA
AB - Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of the University of Colorado) used a hierarchical approach in which we examined data from Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) onboard Landsat platforms and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite to digitally model warm surface exposures. Geological characteristics such as faulting and other available datasets for known thermally active areas in Colorado were used in conjunction with the satellite thermal imagery to rank potential areas of geothermal activity.
AU - Hussein, Khalid
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - Colorado
KW - CIRES
KW - ASTER
KW - LANDSAT
KW - Remote sensing
KW - Thermal infrared
KW - target areas
KW - geothermal potential
KW - identify
KW - deep resource wells
KW - potential
LA - English
DA - 2012/02/01
PY - 2012
PB - Flint Geothermal, LLC
T1 - CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado
UR - https://data.openei.org/submissions/6670
ER -
Hussein, Khalid. CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado. Flint Geothermal, LLC, 1 February, 2012, GDR. https://gdr.openei.org/submissions/332.
Hussein, K. (2012). CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado. [Data set]. GDR. Flint Geothermal, LLC. https://gdr.openei.org/submissions/332
Hussein, Khalid. CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado. Flint Geothermal, LLC, February, 1, 2012. Distributed by GDR. https://gdr.openei.org/submissions/332
@misc{OEDI_Dataset_6670,
title = {CIRES Approach Overview to Using Thermal Infrared Imagery to Find Geothermal Systems in Colorado},
author = {Hussein, Khalid},
abstractNote = {Subsurface geothermal activity has a thermal expression that can be observed at the surface. Such spatial temperature gradients are within the radiometric resolution that is characteristic of a wide range of satellites that carry thermal sensors. For this effort, CIRES (part of the University of Colorado) used a hierarchical approach in which we examined data from Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) onboard Landsat platforms and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite to digitally model warm surface exposures. Geological characteristics such as faulting and other available datasets for known thermally active areas in Colorado were used in conjunction with the satellite thermal imagery to rank potential areas of geothermal activity.},
url = {https://gdr.openei.org/submissions/332},
year = {2012},
howpublished = {GDR, Flint Geothermal, LLC, https://gdr.openei.org/submissions/332},
note = {Accessed: 2025-05-03}
}
Details
Data from Feb 1, 2012
Last updated Jun 5, 2017
Submitted Feb 27, 2014
Organization
Flint Geothermal, LLC
Contact
Khalid Hussein
303.492.6782
Authors
Original Source
https://gdr.openei.org/submissions/332Research Areas
Keywords
geothermal, Colorado, CIRES, ASTER, LANDSAT, Remote sensing, Thermal infrared, target areas, geothermal potential, identify, deep resource wells, potentialDOE 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
