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	Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS
	Wu H.
	2012
关键词	land surface temperature spinning enhanced visible and infrared imager MODIS split-window algorithm high-resolution radiometer thermal infrared data remote-sensing data msg1-seviri data avhrr data emissivity retrieval channel validation
英文摘要	We evaluate the land surface temperature (LST) generated from the spinning enhanced visible and infrared imager (SEVIRI) onboard the MSG-2 satellite, which was retrieved using the split-window method where the land surface emissivity (LSE) was estimated from the day/night temperature-independent spectral indices-based method. The SEVIRI-derived LST was compared with the MODIS-derived LST extracted from the MOD11B1 V5 product during 7 clear-sky days. The results show that (1) discrepancies exist between the two LST products, with a maximum average difference of 4.9 K; (2) these differences are considered to be time-dependent, since higher discrepancies are observed during the daytime; (3) these differences are land-cover dependent, e.g., bare areas generally present larger differences than vegetated areas; and (4) these differences are inversely proportional to view zenith angle differences. Finally, the main sources of LST differences are investigated and identified in terms of LSE, instrumental noise equivalent temperature difference (NE Delta T), and misregistration of the two LST products. The LST differences arising from NE Delta T and misregistration are within 0.4 K. Therefore, these discrepancies may mainly result from errors in LSE, which are caused primarily by the atmospheric correction error for the SEVIRI-derived LST. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063606]
出处	Journal of Applied Remote Sensing
卷	6
收录类别	SCI
语种	英语
ISSN号	1931-3195
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30878]
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	Wu H.. Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS. 2012.

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