%0 Journal Article
%T Reducing the Discrepancy Between ASTER and MODIS Land Surface Temperature Products
%A Yuanbo Liu
%A Yasushi Yamaguchi
%A Changqing Ke
%J Sensors
%D 2007
%I MDPI AG
%R 10.3390/s7123043
%X Human-induced global warming has significantly increased the importance ofsatellite monitoring of land surface temperature (LST) on a global scale. The MODerate-resolution Imaging Spectroradiometer (MODIS) provides a 1-km resolution LST productwith almost daily coverage of the Earth, invaluable to both local and global change studies.The Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) provides aLST product with a high spatial resolution of 90-m and a 16-day recurrent cycle,simultaneously acquired at the same height and nadir view as MODIS. ASTER andMODIS are complementary in resolution, offering a unique opportunity for scale-relatedstudies. ASTER and MODIS LST have been widely used but the errors in LST were mostlydisregarded. Correction of ASTER-to-MODIS LST discrepancies is essential for studiesreliant upon the joint use of these sensors. In this study, we compared three correctionapproaches: the Wan et al.¡¯s approach, the refined Wan et al.¡¯s approach, and thegeneralized split window (GSW) algorithm based approach. The Wan et al.¡¯s approachcorrects the MODIS 1-km LST using MODIS 5-km LST. The refined approach modifiesthe Wan et al.¡¯s approach through incorporating ASTER emissivity and MODIS 5-km data.The GSW algorithm approach does not use MODIS 5-km but only ASTER emissivity data. We examined the case over a semi-arid terrain area for the part of the Loess Plateau of China. All the approaches reduced the ASTER-to-MODIS LST discrepancy effectively. With terrain correction, the original ASTER-to-MODIS LST difference reduced from 2.7¡À1.28 K to -0.1¡À1.87 K for the Wan et al.¡¯s approach, 0.2¡À1.57 K for the refined approach, and 0.1¡À1.33 K for the GSW algorithm based approach. Among all the approaches, the GSW algorithm based approach performed best in terms of mean, standard deviation, root mean square root, and correlation coefficient.
%K land surface temperature
%K surface emissivity
%K retrieval algorithm
%K scale effects
%K terrain effects
%K remote sensing
%K ASTER
%K MODIS
%U http://www.mdpi.com/1424-8220/7/12/3043