A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data

被引:75
作者
Jia, L
Li, ZL
Menenti, M
Su, Z
Verhoef, W
Wan, Z
机构
[1] Univ Wageningen & Res Ctr, ALTERRA Green World Res, NL-6700 AA Wageningen, Netherlands
[2] Univ Strasbourg 1, TRIO LSIIT, F-67400 Illkirch Graffenstaden, France
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[4] Natl Aerosp Lab, NL-8316 PR Marknesse, Netherlands
[5] Univ Calif Santa Barbara, Inst Computat Earth Syst Sci, Santa Barbara, CA 93106 USA
[6] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
基金
美国国家航空航天局;
关键词
D O I
10.1080/0143116031000101576
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
An operational algorithm is proposed to retrieve soil and foliage component temperatures over heterogeneous land surface based on the analysis of bi-angular multi-spectral observations made by ATSR-2. Firstly, on the basis of the radiative transfer theory in a canopy, a model is developed to infer the two component temperatures using six channels of ATSR-2. Four visible, near-infrared and short wave infrared channels are used to estimate the fractional vegetation cover within a pixel. A split-window method is developed to eliminate the atmospheric effects on the two thermal channels. An advanced method using all four visible, near-infrared and short wave channel measurements at two view angles is developed to perform atmospheric corrections in those channels allowing simultaneous retrieval of aerosol opacity and land surface bi-directional reflectance. Secondly, several case studies are undertaken with ATSR-2 data. The results indicate that both foliage and soil temperatures can be retrieved from bi-angular surface temperatures measurements. Finally, limitations and uncertainties in retrieving component temperatures using the present algorithm are discussed.
引用
收藏
页码:4739 / 4760
页数:22
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