A study of retrieval land surface temperature and evapotranspiration based on ETM plus remote sensing data in oasis

被引：1
|
作者：
Cao Xiao-ming [1 ]
Chen Xi [1 ]
Bao An-ming [1 ]
Li Lanhai [1 ]
机构：
[1] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
来源：
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY VII | 2010年 / 7809卷
关键词：
Remote Sensing retrieval; Land Surface Temperature (LST); Evapotranspiration (ET); Sangong Rvier; ALGORITHM;
D O I：
10.1117/12.858114
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Based on Landsat ETM+ Remote Sensing data in 1999-8-23, LST and ET were retrieved by Qin et al's mono-window algorithm and SEBAL model respectively. Combed with LUCC over the same period, the distribution characteristics of LST and ET were studied. The results showed that, 1) the distribution of LST and ET had obvious relationship with LUCC; 2) there were significant differences of LST and ET in different land use/cover; 3) LST were lower in the high vegetation cover area, while LST were higher in the low high vegetation cover area; 4) ET had the reversed characteristic: ET were higher in the high vegetation cover area, while it became lower in the low vegetation cover area.
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页数：7
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