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	Generation of a time-consistent land surface temperature product from MODIS data
	Wu H.
	2014
关键词	Land surface temperature MODIS MSG-SEVIRI Time-consistent Temporal normalization split-window algorithm atmospheric correction longwave radiation diurnal cycles emissivity validation avhrr satellite seviri
英文摘要	Land surface temperature (LST) is crucial for a wide variety of land-atmosphere studies. A long-term and time-consistent LST product is highly desirable for use in global climate studies. In this study, we developed a method to normalize the Terra-MODIS LST during daytime to a consistent local solar time to generate a time-consistent LST product. A multiple linear regression model for the slope of LST versus the local solar time during the period 10:00-12:00 as a function of the normalized-difference vegetation index, solar zenith angle, and digital elevation model was established using MSG-SEVIRI data. The regression equation was then applied to normalize the Terra-MODIS LST during daytime to a consistent local solar time (i.e., 11:00 local solar time). The accuracy of the proposed method was evaluated using MSG-SEVIRI-derived LST data. The results indicate that the root mean square error of the differences between the LST before temporal normalization and the actual LST (derived from MSG-SEVIRI data) is approximately 1.5 K, whereas those between the LST after temporal normalization and the actual LST is approximately 0.5 K. (C) 2013 Elsevier Inc. All rights reserved.
出处	Remote Sensing of Environment
卷	140
页	339-349
收录类别	SCI
语种	英语
ISSN号	0034-4257
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29912]
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.. Generation of a time-consistent land surface temperature product from MODIS data. 2014.

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