Journal
REMOTE SENSING OF ENVIRONMENT
Volume 140, Issue -, Pages 339-349Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2013.09.003
Keywords
Land surface temperature; MODIS; MSG-SEVIRI; Time-consistent; Temporal normalization
Funding
- National Natural Science Foundation of China [41231170]
- Hi-Tech Research and Development Program of China (863 Plan Program) [2012AA12A304]
- Chinese Academy of Sciences, Climate Change: Carbon Budget and Relevant Issues [XDA05050109]
- State Key Laboratory of Resources and Environment Information System [088RA801KA]
- China Scholarship Council
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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.
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