Remotely Sensed Thermal Anomalies in Western Colorado
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.
Citation Formats
Flint Geothermal, LLC. (2012). Remotely Sensed Thermal Anomalies in Western Colorado [data set]. Retrieved from https://dx.doi.org/10.15121/1148763.
Hussein, Khalid. Remotely Sensed Thermal Anomalies in Western Colorado. United States: N.p., 01 Feb, 2012. Web. doi: 10.15121/1148763.
Hussein, Khalid. Remotely Sensed Thermal Anomalies in Western Colorado. United States. https://dx.doi.org/10.15121/1148763
Hussein, Khalid. 2012. "Remotely Sensed Thermal Anomalies in Western Colorado". United States. https://dx.doi.org/10.15121/1148763. https://gdr.openei.org/submissions/302.
@div{oedi_302, 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}, url = {https://gdr.openei.org/submissions/302}, journal = {}, number = , volume = , place = {United States}, year = {2012}, month = {02}}
https://dx.doi.org/10.15121/1148763
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
Keywords
geothermal, LANDSAT, ASTER, Thermal Infrared, Colorado, Remote sensing, ArcGIS, GIS, shapefile, shape file, geospatial data, data, anomaly detection, satellite imagery, surface temperature, thermal anomaliesDOE 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