Comparative analysis of land surface emissivity retrieval methods and the impact on the land surface temperature based on Landsat-8 thermal infrared data

Zenghui Kan; Chaoshun Liu; Cong Zhou; Zhijun Li

doi:10.1117/12.2186766

4 September 2015 Comparative analysis of land surface emissivity retrieval methods and the impact on the land surface temperature based on Landsat-8 thermal infrared data

Zenghui Kan, Chaoshun Liu, Cong Zhou, Zhijun Li

Author Affiliations +

Proceedings Volume 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII; 961012 (2015) https://doi.org/10.1117/12.2186766
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

With the increasingly prevalent and far-reaching application of remote sensing, several algorithms have been put forward for land surface temperature retrieval. However, there is still no consensus on the calculation of land surface emissivity (LSE), which is one of the significant parameters in land surface temperature (LST) retrieval. In this paper, two methods of estimating LSE based on thematic mapper data were introduced: Van’s empirical formula method and the mixed pixels method. Based on the detailed introduction to Van’s empirical formula and the mixed pixels decomposing method in computing surface emissivity, Landsat-8 thermal infrared data and the radiative transfer equation method were used to obtain the land surface temperature in Taihu region. In this paper, atmospheric parameters are based on real-time atmospheric profile to reduce the LST error brought by the atmospheric profile. Two figures were acquired, which represented the LST of Van’s empirical formula and the mixed pixels decomposing method respectively. The relationship between land surface temperature and land cover was also studied.

Citation Download Citation

Zenghui Kan, Chaoshun Liu, Cong Zhou, and Zhijun Li "Comparative analysis of land surface emissivity retrieval methods and the impact on the land surface temperature based on Landsat-8 thermal infrared data", Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 961012 (4 September 2015); https://doi.org/10.1117/12.2186766

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KEYWORDS

Vegetation

Earth observing sensors

Landsat

Infrared radiation

Thermography

Radiative transfer

Remote sensing

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