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	An Improved Algorithm for Retrieving Land Surface Emissivity and Temperature From MSG-2/SEVIRI Data
	Qiu S.; Wu H.
	2014
关键词	Cross-validation land surface emissivity (LSE) land surface temperature (LST) MSG-2/Spinning Enhanced Visible and Infrared Imager (SEVIRI) split-window algorithm thermal infrared data high-resolution radiometer avhrr data validation channel
英文摘要	This paper presents an improved algorithm for simultaneously retrieving both land surface emissivity (LSE) and land surface temperature (LST) using data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the MSG-2 satellite. First, the temperature-independent spectral index-based method for LSE retrieval is reviewed and improved in terms of three aspects: atmospheric correction, fitting of the bidirectional reflectivity model, and retrieval of the LSE in SEVIRI channel 10. Then, the generalized split-window method with seven unknown coefficients is used to derive the LST. Finally, this improved algorithm is applied to several MSG-2/SEVIRI data sets over a study area with geospatial coverage of latitude 30 degrees N-45 degrees N and longitude 15 degrees W-15 degrees E, and using detailed cases, the modifications to the original LSE/LST retrieval methods are shown to be effective and reasonable. In addition, the SEVIRI-derived LSTs are cross-validated primarily using the Moderate Resolution Imaging Spectroradiometer-derived validated LST data extracted from the MOD11B1 product on two clear-sky days (August 22, 2009 and July 3, 2008). The validation results indicate that more than 70% of the differences are within 2.5 K and that the LST differences tend to be lower at night than in the day, which may result from the homogeneous thermal conditions at night.
出处	Ieee Transactions on Geoscience and Remote Sensing
卷	52
期	6
页	3175-3191
收录类别	SCI
语种	英语
ISSN号	0196-2892
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29883]
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	Qiu S.,Wu H.. An Improved Algorithm for Retrieving Land Surface Emissivity and Temperature From MSG-2/SEVIRI Data. 2014.

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