Progress of land surface temperature retrieval based on passive microwave remote sensing

doi:10.6046/gtzyyg.2014.01.01

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Abstract

Microwave remote sensing can penetrate the clouds and even to some extent the rain and can make up for the lack of thermal infrared light. In order to get land surface temperature (LST) under all weather conditions, it is essential to develop the inversion algorithm based on microwave remote sensing data. This paper reviews the former algorithms found in literature, which can be roughly categorized into the statistical-based and physical-based retrieval algorithms and neural network algorithm from a methodology perspective. The merits and disadvantages are summarized for each method. This paper also points out the direction of future development and provides a reference for future research.

Keywords new construction land land use data change detection feature selection

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Issue Date: 08 January 2014

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	ZHANG Xi
	LIU Shunxi
	CHEN Ge
	WANG Zhongwu
	YOU Shucheng

Cite this article:

ZHANG Xi,LIU Shunxi,CHEN Ge, et al. Progress of land surface temperature retrieval based on passive microwave remote sensing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 1-7.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.01 OR https://www.gtzyyg.com/EN/Y2014/V26/I1/1

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