Inversion of Surface Temperature Based on MODIS and ASTER Imagery

Shenghui Fang +, Yuanyong Dian and Yuanchao Fan
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Abstract. In this paper, on the basis of summarizing the main algorithms of retrieval of land surface temperature, the principle of temperature retrieval algorithm based on multi-channel data is described and factors affecting the accuracy of retrieval are analyzed. In addition, mixed pixel emissivity is discussed and the relevant estimation method using the results of classification of visible-band images is put forward. Experimental retrieval of land surface temperature is conducted by making use of MODIS and ASTER imagery in local Wuhan areas, with the empirical results analyzed.

Keywords: retrieval; land surface temperature (LST); mixed pixels

In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).

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