Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data
Abstract
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 Chaffee 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.
- Authors:
-
- Flint Geothermal, LLC
- Publication Date:
- Other Number(s):
- 313
- DOE Contract Number:
- EE0002828
- Research Org.:
- DOE Geothermal Data Repository; Flint Geothermal, LLC
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Flint Geothermal, LLC
- Subject:
- 15 GEOTHERMAL ENERGY; ASTER; ArcGIS; Chaffee County; Colorado; GIS; Remote sensing; Thermal infrared; anomaly detection; data; geospatial; geospatial data; geothermal; shape file; shapefile; temperature; thermal anomalies
- OSTI Identifier:
- 1148741
- DOI:
- https://doi.org/10.15121/1148741
Citation Formats
Hussein, Khalid. Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data. United States: N. p., 2012.
Web. doi:10.15121/1148741.
Hussein, Khalid. Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data. United States. doi:https://doi.org/10.15121/1148741
Hussein, Khalid. 2012.
"Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data". United States. doi:https://doi.org/10.15121/1148741. https://www.osti.gov/servlets/purl/1148741. Pub date:Wed Feb 01 04:00:00 UTC 2012
@article{osti_1148741,
title = {Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee 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 Chaffee 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 = {10.15121/1148741},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 01 04:00:00 UTC 2012},
month = {Wed Feb 01 04:00:00 UTC 2012}
}
