Sensitivity studies of the moisture effects on MODIS SWIR reflectance and vegetation water indices

被引：85

作者：

Wang, Lingli ^{[1
]}

Qu, John J. ^{[1
]}

Hao, Xianjun ^{[1
]}

Zhu, Qingping ^{[2
]}

机构：

[1] George Mason Univ, Coll Sci, EastFIRE Lab, Fairfax, VA 22030 USA

[2] China Water Int Engn Consulting Co Ltd, Minist Water Resources, Beijing 100053, Peoples R China

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2008年 / 29卷 / 24期

关键词：

D O I：

10.1080/01431160802226034

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The effects of soil moisture and leaf water content on canopy reflectance of MODIS shortwave infrared (SWIR) bands 5, 6, and 7 and water-related indices are studied quantitatively using the coupled soil-leaf-canopy reflectance model. Canopy spectra simulations under various input conditions show that soil moisture has a large effect on each SWIR reflectance at low leaf area index (LAI) values, among which band 5 is the most sensitive to soil moisture variations, while band 7 responds strongest to dry soil conditions. Band 5 is also better suited to measure leaf water content change, since it obtains a higher variation when leaf water content changes from dry to wet. In general, each SWIR band responds to soil moisture and leaf water content differently. By using the normalized calculation between the water absorption-sensitive band and insensitive band, the Normalized Difference Water Index shows the most capability to remove the soil background effect and enhance the sensitivity to leaf water content. These two moisture variables may be separated by combining multiple rather than one SWIR band with a near-infrared band considering that each SWIR band has a different response to soil moisture and leaf water content.

引用

页码：7065 / 7075

页数：11

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