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	Land surface temperature retrieved from airborne multispectral scanner mid-infrared and thermal-infrared data
	Qian Y. G.; Wang, N.; Ma, L. L.; Liu, Y. K.; Wu, H.; Tang, B. H.; Tang, L. L.; Li, C. R.
	2016
关键词	emissivity retrieval single-channel validation algorithm
英文摘要	Land surface temperature (LST) is one of the key parameters in the physics of land surface processes at local/global scales. In this paper, a LST retrieval method was proposed from airborne multispectral scanner data comparing one mid-infrared (MIR) channel and one thermal infrared (TIR) channel with the land surface emissivity given as a priori knowledge. To remove the influence of the direct solar radiance efficiently, a relationship between the direct solar radiance and water vapor content and the view zenith angle and solar zenith angle was established. Then, LST could be retrieved with a split-window algorithm from MIR/TIR data. Finally, the proposed algorithm was applied to the actual airborne flight data and validated with in situ measurements of land surface types in the Baotou site in China on 17 October 2014. The results demonstrate that the difference between the retrieved and in situ LST was less than 1.5 K. The bais, RMSE, and standard deviation of the retrieved LST were 0.156 K, 0.883 K, and 0.869 K, respectively, for samples. (C) 2015 Optical Society of America
出处	Optics Express
卷	24
期	2
页	A257-A269
语种	英语
ISSN号	1094-4087
DOI标识	10.1364/oe.24.00a257
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/42770]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Qian Y. G.,Wang, N.,Ma, L. L.,et al. Land surface temperature retrieved from airborne multispectral scanner mid-infrared and thermal-infrared data. 2016.

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