Land surface temperature retrieval from Landsat 8 TIRS: comparison between split window algorithm and SEBAL method

Khalil Valizadeh Kamran; Mojtaba Pirnazar; Vida Farhadi Bansouleh

doi:10.1117/12.2192491

19 June 2015 Land surface temperature retrieval from Landsat 8 TIRS: comparison between split window algorithm and SEBAL method

Khalil Valizadeh Kamran, Mojtaba Pirnazar, Vida Farhadi Bansouleh

Author Affiliations +

Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 953503 (2015) https://doi.org/10.1117/12.2192491
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus

Abstract

Land surface temperature (LST) is a key parameter in the physics of the earth surface through the process of energy and water exchange with the atmosphere, which plays an important role in a wide variety of scientific studies, such as ecology, hydrology, and global change studies. Thermal infrared (TIR) remote sensing provides a unique method for obtaining LST information at the regional and global scales since most of the energy detected by the sensor in this spectral region is directly emitted by the land surface. Landsat 8 Thermal Infrared Sensor (TIRS), because of two adjacent thermal bands, band 10 between 10.30-11.30 μm and band 11 between 11.30-12.30 μm, and availability of its images is a good source for retrieving LST. In this study, we compared two different methods for LST inversions from TIRS including the Split Window method and the SEBAL method for Tehran , Iran.. Results show that the LST inverted from the Split Window method has the accuracy with RMSE lower than 1.17 ˚ C, while the SEBAL method has the accuracy with 3.27 ˚ C, so the Split Window algorithm is appropriate method for this study area.

Citation Download Citation

Khalil Valizadeh Kamran, Mojtaba Pirnazar, and Vida Farhadi Bansouleh "Land surface temperature retrieval from Landsat 8 TIRS: comparison between split window algorithm and SEBAL method", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 953503 (19 June 2015); https://doi.org/10.1117/12.2192491

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