Areas of Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
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.
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
Keywords
geothermal, Colorado, Archuleta County, Remote sensing, ASTER, Thermal Infrared, ArcGIS, GIS, shapefile, shape file, geospatial, geospatial data, data, temperature, thermal, anomaly detection, 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
