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Predicting vegetation water content in wheat using normalized difference water indices derived from ground measurements

文献类型： 外文期刊

作者： Wu, Chaoyang 1 ; Niu, Zheng 1 ; Tang, Quan 1 ; Huang, Wenjiang 1 ;

作者机构： 1.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

2.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

关键词： Equivalent water thickness; Normalized difference water index; Vegetation water content

期刊名称：JOURNAL OF PLANT RESEARCH （ 影响因子：2.629； 五年影响因子：2.926 ）

ISSN： 0918-9440

年卷期： 2009 年 122 卷 3 期

页码：

收录情况： SCI

摘要： Vegetation water content (VWC) is an important variable for both agriculture and forest fire management. Remote sensing technology offers an instantaneous and non-destructive method for VWC assessment provided we can relate in situ measurements of VWC to spectral reflectance in a reliable way. In this paper, based on radiative transfer models, three new normalized difference water indices (NDWI) are proposed for VWC [fuel moisture content (FMC), and equivalent water thickness (EWT)] estimation, taking both leaf internal structure and dry matter content into account. Reflectance at 1,200, 1,450 and 1,940 nm were selected and normalized with reflectance at 860 nm to establish three water indices, NDWI1200, NDWI1450 and NDWI1940. Good correlations were observed between FMC (R (2) = 0.65-0.80) and EWT (both at the leaf scale, R (2) = 0.75-0.81 for EWTL and at the canopy scale, R (2) = 0.80-0.83 for EWTC) at various stages of wheat crop development.

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