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

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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

Flint Geothermal, LLC. (2012). Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County [data set]. Retrieved from https://dx.doi.org/10.15121/1361177.
Export Citation to RIS
Hussein, Khalid. Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County. United States: N.p., 01 Feb, 2012. Web. doi: 10.15121/1361177.
Hussein, Khalid. Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County. United States. https://dx.doi.org/10.15121/1361177
Hussein, Khalid. 2012. "Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County". United States. https://dx.doi.org/10.15121/1361177. https://gdr.openei.org/submissions/319.
@div{oedi_3162, title = {Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta 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.
}, doi = {10.15121/1361177}, url = {https://gdr.openei.org/submissions/319}, journal = {}, number = , volume = , place = {United States}, year = {2012}, month = {02}}
https://dx.doi.org/10.15121/1361177

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

Khalid Hussein

Flint Geothermal, LLC

Research Areas

DOE 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

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