Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado
This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was 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 having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.
Citation Formats
Flint Geothermal, LLC. (2012). Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado [data set]. Retrieved from https://dx.doi.org/10.15121/1361183.
Hussein, Khalid. Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado. United States: N.p., 01 Feb, 2012. Web. doi: 10.15121/1361183.
Hussein, Khalid. Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado. United States. https://dx.doi.org/10.15121/1361183
Hussein, Khalid. 2012. "Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado". United States. https://dx.doi.org/10.15121/1361183. https://gdr.openei.org/submissions/326.
@div{oedi_326, title = {Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data around Pinkerton Hot Springs, Colorado}, author = {Hussein, Khalid.}, abstractNote = {This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was 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 having anomalous temperature in the ASTER data are shown in blue diagonal hatch, while areas having anomalous temperature in the LANDSAT data are shown in magenta on the map. Thermal springs and areas with favorable geochemistry are also shown. Springs or wells having non-favorable geochemistry are shown as blue dots.
}, doi = {10.15121/1361183}, url = {https://gdr.openei.org/submissions/326}, journal = {}, number = , volume = , place = {United States}, year = {2012}, month = {02}}
https://dx.doi.org/10.15121/1361183
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, Pinkerton, Colorado, Remote sensing, ASTER, LANDSAT, Thermal infrared, thermal anomalies, surface temperature anomalies, mapDOE 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
