周旺等:Reconstructing spatial-temporal continuous MODIS land surface temperature using the DINEOF method
被阅读 241 次
2018-01-30
Reconstructing spatial-temporal continuous MODIS land surface temperature using the DINEOF method
作者:Zhou, W (Zhou, Wang)[ 1,2 ] ; Peng, B (Peng, Bin)[ 3,4 ] ; Shi, JC (Shi, Jiancheng)[ 1 ]
JOURNAL OF APPLIED REMOTE SENSING
卷: 11
文献号: 046016
DOI: 10.1117/1.JRS.11.046016
出版年: DEC 5 2017
 
摘要
Land surface temperature (LST) is one of the key states of the Earth surface system. Remote sensing has the capability to obtain high-frequency LST observations with global coverage. However, mainly due to cloud cover, there are always gaps in the remotely sensed LST product, which hampers the application of satellite-based LST in data-driven modeling of surface energy and water exchange processes. We explored the suitability of the data interpolating empirical orthogonal functions (DINEOF) method in moderate resolution imaging spectroradiometer LST reconstruction around Ali on the Tibetan Plateau. To validate the reconstruction accuracy, synthetic clouds during both daytime and nighttime are created. With DINEOF reconstruction, the root mean square error and bias under synthetic clouds in daytime are 4.57 and -0.0472 K, respectively, and during the nighttime are 2.30 and 0.0045 K, respectively. The DINEOF method can well recover the spatial pattern of LST. Time-series analysis of LST before and after DINEOF reconstruction from 2002 to 2016 shows that the annual and inter-annual variabilities of LST can be well reconstructed by the DINEOF method. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
 
通讯作者地址: Shi, JC (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.
通讯作者地址: Peng, B (通讯作者)
Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA.
通讯作者地址: Peng, B (通讯作者)
Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[ 2 ] Univ Chinese Acad Sci, Beijing, Peoples R China
[ 3 ] Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USA
[ 4 ] Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA