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Title: Remotely Sensed Thermal Anomalies in Western Colorado

Abstract

This layer contains the areas identified as areas of anomalous surface temperature from Landsat satellite imagery in Western Colorado. Data was obtained for two different dates. The digital numbers of each Landsat scene were converted to radiance and the temperature was calculated in degrees Kelvin and then converted to degrees Celsius for each land cover type using the emissivity of that cover type. And this process was repeated for each of the land cover types (open water, barren, deciduous forest and evergreen forest, mixed forest, shrub/scrub, grassland/herbaceous, pasture hay, and cultivated crops). The temperature of each pixel within each scene was calculated using the thermal band. In order to calculate the temperature an average emissivity value was used for each land cover type within each scene. The NLCD 2001 land cover classification raster data of the zones that cover Colorado were downloaded from USGS site and used to identify the land cover types within each scene. Areas that had temperature residual greater than 2o, and areas with temperature equal to 1o to 2o, were considered Landsat modeled very warm and warm surface exposures (thermal anomalies), respectively. Note: 'o' is used in this description to represent lowercase sigma.

Authors:
Publication Date:
Other Number(s):
302
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), Renewable Power Office. Geothermal Technologies Program (EE-4G)
Collaborations:
Flint Geothermal, LLC
Subject:
15 Geothermal Energy
Keywords:
geothermal; LANDSAT; ASTER; Thermal Infrared; Colorado; Remote sensing; ArcGIS; GIS; shapefile; shape file; geospatial data; data; anomaly detection; satellite imagery; surface temperature; thermal anomalies
Geolocation:
40.941946633049,-103.5337484375|36.897417334911,-103.5337484375|36.897417334911,-109.015825|40.941946633049,-109.015825|40.941946633049,-103.5337484375
OSTI Identifier:
1148763
DOI:
https://doi.org/10.15121/1148763
Project Location:


Citation Formats

Hussein, Khalid. Remotely Sensed Thermal Anomalies in Western Colorado. United States: N. p., 2012. Web. doi:10.15121/1148763.
Hussein, Khalid. Remotely Sensed Thermal Anomalies in Western Colorado. United States. doi:https://doi.org/10.15121/1148763
Hussein, Khalid. 2012. "Remotely Sensed Thermal Anomalies in Western Colorado". United States. doi:https://doi.org/10.15121/1148763. https://www.osti.gov/servlets/purl/1148763. Pub date:Wed Feb 01 00:00:00 EST 2012
@article{osti_1148763,
title = {Remotely Sensed Thermal Anomalies in Western Colorado},
author = {Hussein, Khalid},
abstractNote = {This layer contains the areas identified as areas of anomalous surface temperature from Landsat satellite imagery in Western Colorado. Data was obtained for two different dates. The digital numbers of each Landsat scene were converted to radiance and the temperature was calculated in degrees Kelvin and then converted to degrees Celsius for each land cover type using the emissivity of that cover type. And this process was repeated for each of the land cover types (open water, barren, deciduous forest and evergreen forest, mixed forest, shrub/scrub, grassland/herbaceous, pasture hay, and cultivated crops). The temperature of each pixel within each scene was calculated using the thermal band. In order to calculate the temperature an average emissivity value was used for each land cover type within each scene. The NLCD 2001 land cover classification raster data of the zones that cover Colorado were downloaded from USGS site and used to identify the land cover types within each scene. Areas that had temperature residual greater than 2o, and areas with temperature equal to 1o to 2o, were considered Landsat modeled very warm and warm surface exposures (thermal anomalies), respectively. Note: 'o' is used in this description to represent lowercase sigma.},
doi = {10.15121/1148763},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {2}
}