Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County
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 incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map. Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map.
This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."
Note: 'o' is used in this description to represent lowercase sigma.
Citation Formats
TY - DATA
AB - 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 incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map. Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map.
This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."
Note: 'o' is used in this description to represent lowercase sigma.
AU - Hussein, Khalid
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1361178
KW - geothermal
KW - Colorado
KW - Dolores County
KW - ASTER
KW - Thermal Infrared
KW - Remote sensing
KW - map
KW - surface temperature anomalies
KW - thermal anomalies
LA - English
DA - 2012/02/01
PY - 2012
PB - Flint Geothermal, LLC
T1 - Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County
UR - https://doi.org/10.15121/1361178
ER -
Hussein, Khalid. Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County. Flint Geothermal, LLC, 1 February, 2012, Geothermal Data Repository. https://doi.org/10.15121/1361178.
Hussein, K. (2012). Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County. [Data set]. Geothermal Data Repository. Flint Geothermal, LLC. https://doi.org/10.15121/1361178
Hussein, Khalid. Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County. Flint Geothermal, LLC, February, 1, 2012. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1361178
@misc{GDR_Dataset_320,
title = {Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County},
author = {Hussein, Khalid},
abstractNote = {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 incoming solar radiation was calculated using spatial based insolation model developed by Fu and Rich (1999). Then the temperature due to solar radiation was calculated using emissivity derived from ASTER data. The residual temperature, i.e. temperature due to solar radiation subtracted from ASTER temperature was used to identify thermally anomalous areas. Areas that had temperature greater than 2o were considered ASTER modeled "very warm modeled surface temperature" are shown in red on the map. Areas that had temperatures between 1o and 2o were considered ASTER modeled "warm modeled surface temperature" are shown in yellow on the map.
This map also includes the locations of shallow temperature survey points, locations of springs or wells with favorable geochemistry, faults, transmission lines, and areas of modeled basement weakness "fairways."
Note: 'o' is used in this description to represent lowercase sigma.
},
url = {https://gdr.openei.org/submissions/320},
year = {2012},
howpublished = {Geothermal Data Repository, Flint Geothermal, LLC, https://doi.org/10.15121/1361178},
note = {Accessed: 2025-04-22},
doi = {10.15121/1361178}
}
https://dx.doi.org/10.15121/1361178
Details
Data from Feb 1, 2012
Last updated Nov 28, 2017
Submitted Feb 27, 2014
Organization
Flint Geothermal, LLC
Contact
Khalid Hussein
303.492.6782
Authors
Keywords
geothermal, Colorado, Dolores County, ASTER, Thermal Infrared, Remote sensing, map, surface temperature anomalies, 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
