Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.
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 between 1o and 2o were considered ASTER modeled warm surface exposures (thermal anomalies).
Note: 'o' is used in this description to represent lowercase sigma.
Citation Formats
TY - DATA
AB - Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.
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 between 1o and 2o were considered ASTER modeled 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 - 10.15121/1148743
KW - geothermal
KW - Colorado
KW - Archeluta County
KW - Remote sensing
KW - ASTER
KW - Thermal infrared
KW - ArcGIS
KW - GIS
KW - shapefile
KW - shape file
KW - geospatial
KW - data
KW - thermal
KW - temperature
KW - anomaly detection
KW - thermal anomalies
KW - geospatial data
LA - English
DA - 2012/02/01
PY - 2012
PB - Flint Geothermal, LLC
T1 - Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
UR - https://doi.org/10.15121/1148743
ER -
Hussein, Khalid. Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data. Flint Geothermal, LLC, 1 February, 2012, GDR. https://doi.org/10.15121/1148743.
Hussein, K. (2012). Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data. [Data set]. GDR. Flint Geothermal, LLC. https://doi.org/10.15121/1148743
Hussein, Khalid. Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data. Flint Geothermal, LLC, February, 1, 2012. Distributed by GDR. https://doi.org/10.15121/1148743
@misc{OEDI_Dataset_6649,
title = {Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data},
author = {Hussein, Khalid},
abstractNote = {Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the greater than 2o temperatures contained in the "Anomalous Surface Temperature" dataset.
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 between 1o and 2o were considered ASTER modeled warm surface exposures (thermal anomalies).
Note: 'o' is used in this description to represent lowercase sigma.
},
url = {https://gdr.openei.org/submissions/311},
year = {2012},
howpublished = {GDR, Flint Geothermal, LLC, https://doi.org/10.15121/1148743},
note = {Accessed: 2025-05-01},
doi = {10.15121/1148743}
}
https://dx.doi.org/10.15121/1148743
Details
Data from Feb 1, 2012
Last updated Aug 23, 2021
Submitted Feb 27, 2014
Organization
Flint Geothermal, LLC
Contact
Authors
Original Source
https://gdr.openei.org/submissions/311Research Areas
Keywords
geothermal, Colorado, Archeluta County, Remote sensing, ASTER, Thermal infrared, ArcGIS, GIS, shapefile, shape file, geospatial, data, thermal, temperature, anomaly detection, thermal anomalies, geospatial dataDOE 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
