Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

Hussein, Khalid

doi:10.15121/1361182

Title: Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

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Abstract

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.

Authors:: Hussein, Khalid

Publication Date:: 2012-02-01

Other Number(s):: 325

DOE Contract Number:: EE0002828

Research Org.:: USDOE Geothermal Data Repository (United States); Flint Geothermal, LLC

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)

Subject:: 15 Geothermal Energy

Keywords:: geothermal; Colorado; Sanguache County; Remote sensing; ASTER; LANDSAT; Thermal infrared; Thermal anomalies; map; surface temperature anomalies

Geolocation:: 38.060423443594,-104.7642171875|37.072932832763,-104.7642171875|37.072932832763,-106.5548875|38.060423443594,-106.5548875|38.060423443594,-104.7642171875

OSTI Identifier:: 1361182

DOI:: https://doi.org/10.15121/1361182

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Citation Formats


                    Hussein, Khalid. Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado.  United States: N. p., 2012. 
        Web.  doi:10.15121/1361182.

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                    Hussein, Khalid. Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado.  United States.  doi:https://doi.org/10.15121/1361182

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                    Hussein, Khalid. 2012.  
"Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado".  United States.  doi:https://doi.org/10.15121/1361182.  https://www.osti.gov/servlets/purl/1361182. Pub date:Wed Feb 01 00:00:00 EST 2012

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@article{osti_1361182,

  title        = {Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, 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          = {10.15121/1361182},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2012},

  month        = {2}

}

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DOI: https://doi.org/10.15121/1361182

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