New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products

被引:988
作者
Wan, Zhengming [1 ]
机构
[1] Univ Calif Santa Barbara, ICESS, Santa Barbara, CA 93106 USA
基金
美国国家航空航天局;
关键词
MODIS; land-surface temperature; surface emissivity; validation; cloud contamination;
D O I
10.1016/j.rse.2006.06.026
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper discusses the lessons learned from analysis of the Moderate Resolution Imaging Spectroradiometer (MODIS) Land-Surface Temperature/Emissivity (LST) products in the current (W) and previous versions, and presents eight new refinements for V5 product generation executive code (PGE 16) and the test results with real Terra and Aqua MODIS data. The major refinements include considering surface elevation when using the MODIS cloudmask product, removal of temporal averaging in the I km daily level-3 LST product, removal of cloud-contaminated LSTs in level-3 LST products, and the refinements for the day/night LST algorithm. These refinements significantly improved the spatial coverage of LSTs, especially in highland regions, and the accuracy and stability of the MODIS LST products. Comparisons between V5 LSTs and in-situ values in 47 clear-sky cases (in the LST range from - 10 degrees C to 58 degrees C and atmospheric column water vapor range from 0.4 to 3.5 cm) indicate that the accuracy of the MODIS LST product is better than 1 K in most cases (39 out of 47) and the root of mean squares of differences is less than 0.7 K for all 47 cases or 0.5 K for all but the 8 cases apparently with heavy aerosol loadings. Emissivities retrieved by the day/night algorithm are well compared to the surface emissivity spectra measured by a sun-shadow method in two field campaigns. The time series of V5 MODIS LST product over two sites (Lake Tahoe in California and Namco lake in Tibet) in 2003 are evaluated, showing that the quantity and quality of MODIS LST products depend on clear-sky conditions because of the inherent limitation of the thermal infrared remote sensing. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:59 / 74
页数:16
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