Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data

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This layer contains areas of anomalous surface temperature in Archuleta County 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 surface exposures (thermal anomalies).

Note: 'o' is used in this description to represent lowercase sigma

Citation Formats

Flint Geothermal, LLC. (2012). Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data [data set]. Retrieved from https://dx.doi.org/10.15121/1148759.
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Hussein, Khalid. Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data. United States: N.p., 01 Feb, 2012. Web. doi: 10.15121/1148759.
Hussein, Khalid. Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data. United States. https://dx.doi.org/10.15121/1148759
Hussein, Khalid. 2012. "Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data". United States. https://dx.doi.org/10.15121/1148759. https://gdr.openei.org/submissions/306.
@div{oedi_306, title = {Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data}, author = {Hussein, Khalid.}, abstractNote = {This layer contains areas of anomalous surface temperature in Archuleta County 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 surface exposures (thermal anomalies).

Note: 'o' is used in this description to represent lowercase sigma
}, doi = {10.15121/1148759}, url = {https://gdr.openei.org/submissions/306}, journal = {}, number = , volume = , place = {United States}, year = {2012}, month = {02}}
https://dx.doi.org/10.15121/1148759

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

Khalid Hussein

Flint Geothermal LLC

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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