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A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index

被引：50
作者：
Ghulam, Abduwasit [1 ]
Li Zhao-Liang
Qin QiMing
Tong QingXi
Wang JiHua
Kasimu, Alimujiang
Zhu Lin
机构：
[1] Peking Univ, Inst Remote Sensing, GIS, Beijing 100871, Peoples R China
[2] Lab Sci Image Informat Teledetect, UMR7005, F-67400 Illkirch Graffenstaden, France
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[4] St Louis Univ, Ctr Environm Sci, St Louis, MO 63103 USA
[5] Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China
[6] Chiba Univ, Ctr Environm Remote Sensing, Chiba 263, Japan
来源：
SCIENCE IN CHINA SERIES D-EARTH SCIENCES | 2007年 / 50卷 / 09期
关键词：
leaf water content; shortwave infrared perpendicular water stress index (SPSI); remote estimation of vegetation water content;
D O I：
10.1007/s11430-007-0086-9
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper, a new method for canopy water content (FMC) estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index (SPSI) is developed using NIR, SWIR wavelengths of Enhanced Thematic Mapper Plus (ETM+) on the basis of spectral features and distribution of surface targets with different water conditions in NIR-SWIR spectral space. The developed method is further explored with radiative transfer simulations using PROSPECT, Lillesaeter, SailH and 6S. It is evident from the results of validation derived from satellite synchronous field measurements that SPSI is highly correlated with FMC, coefficient of determination (R squared) and root mean square error are 0.79 and 26.41 %. The paper concludes that SPSI has a potential in vegetation water content estimation in terms of FMC.
引用
收藏
页码：1359 / 1368
页数：10
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