"Womp Womp! Your browser does not support canvas :'("

Remotely Sensed Thermal Anomalies in Western Colorado

Publicly accessible License 

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.
Export Citation to RIS
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_3145, 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

Khalid Hussein

Flint Geothermal LLC

Research Areas

DOE 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

Share

Submission Downloads