Quantitative assessment and validation of the TM land surface temperature using synoptic weather stations

Moshtagh, Nahid; Jafari, Reza; Soltani, Saied; Ramezani, Nafiseh

doi:10.22059/jrwm.2021.100253.706

Document Type : Research Paper

Authors

¹ Department of Natural Resources, Isfahan University of Technology

² Associate professor, Department of Natural Resources, Isfahan University of Technology

https://doi.org/10.22059/jrwm.2021.100253.706

Abstract

Land surface temperature (LST) is an essential parameter in ecological, hydrologic, climatic, and related studies. The objective of this study was to evaluate the performance of Artis and Sobrino algorithms for retrieving LST from 2009 Landsat TM thermal infrared band in Damaneh region of Isfahan province. The accuracy of LST extracted from geometrically corrected image was then assessed against field-based LST data recorded at 10 meteorological stations using linear regression analysis. The results showed that both algorithms were able to map LST spatial distribution in the region and they were significantly correlated (R>0.97), but the Artis algorithm performed slightly better than Sobrino one. This algorithm explained up to 72% of the variation in the field measurements of LST. According to this algorithm, bare lands and highly vegetated agricultural and rangeland areas had the highest (328k0) and lowest LST (291k0) in the region, respectively. As the results indicated here the decrease in vegetation cover corresponds with increase in temperature values, therefore, remotely-sensed LST information with their extensive coverage can have a key role in ecosystem management.

Keywords

References

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Journal of Range and Watershed Managment

Quantitative assessment and validation of the TM land surface temperature using synoptic weather stations

References

References

Volume 74, Issue 3
December 2021
Pages 501-511

Quantitative assessment and validation of the TM land surface temperature using synoptic weather stations

References

References

Volume 74, Issue 3December 2021Pages 501-511

Volume 74, Issue 3
December 2021
Pages 501-511