Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data
This layer contains 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 surface exposures (thermal anomalies)
Note: 'o' is used in this description to represent lowercase sigma.
Citation Formats
TY - DATA
AB - This layer contains 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 surface exposures (thermal anomalies)
Note: 'o' is used in this description to represent lowercase sigma.
AU - Hussein, Khalid
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1148760
KW - geothermal
KW - Colorado
KW - Saguache County
KW - Alamosa County
KW - ASTER
KW - Thermal Infrared
KW - Remote Sensing
KW - Near Infrared
KW - ArcGIS
KW - GIS
KW - shapefile
KW - shape file
KW - geospatial
KW - data
KW - geospatial data
KW - thermal data
KW - thermal anomalies
KW - anomaly detection
LA - English
DA - 2012/02/01
PY - 2012
PB - Flint Geothermal, LLC
T1 - Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data
UR - https://doi.org/10.15121/1148760
ER -
Hussein, Khalid. Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data. Flint Geothermal, LLC, 1 February, 2012, GDR. https://doi.org/10.15121/1148760.
Hussein, K. (2012). Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data. [Data set]. GDR. Flint Geothermal, LLC. https://doi.org/10.15121/1148760
Hussein, Khalid. Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data. Flint Geothermal, LLC, February, 1, 2012. Distributed by GDR. https://doi.org/10.15121/1148760
@misc{OEDI_Dataset_6643,
title = {Areas of Anomalous Surface Temperature in Alamosa and Saguache Counties, Colorado, as Identified from ASTER Thermal Data},
author = {Hussein, Khalid},
abstractNote = {This layer contains 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 surface exposures (thermal anomalies)
Note: 'o' is used in this description to represent lowercase sigma.
},
url = {https://gdr.openei.org/submissions/305},
year = {2012},
howpublished = {GDR, Flint Geothermal, LLC, https://doi.org/10.15121/1148760},
note = {Accessed: 2025-05-03},
doi = {10.15121/1148760}
}
https://dx.doi.org/10.15121/1148760
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
Original Source
https://gdr.openei.org/submissions/305Research Areas
Keywords
geothermal, Colorado, Saguache County, Alamosa County, ASTER, Thermal Infrared, Remote Sensing, Near Infrared, ArcGIS, GIS, shapefile, shape file, geospatial, data, geospatial data, thermal data, thermal anomalies, anomaly detectionDOE 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
