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The New Method Monitoring Crop Water Content Based on NIR-Red Spectrum Feature Space

文献类型： 外文期刊

作者： Cheng Xiao-juan 1 ; Xu Xin-gang 2 ; Chen Tian-en 1 ; Yang Gui-jun 2 ; Li Zhen-hai 2 ;

作者机构： 1.Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Minist Agr, Key Lab Informat Technol Agr, Beijing 100097, Peoples R China

关键词： NIR-Red spectrum feature space; Spectral response function; Vegetation water content; Winter wheat; Plant water index

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 6 期

页码：

收录情况： SCI

摘要： Moisture content is an important index of crop water stress condition, timely and effective monitoring of crop water content is of great significance for evaluating crop water deficit balance and guiding agriculture irrigation. The present paper was trying to build a new crop water index for winter wheat vegetation water content based on NIR-Red spectral space. Firstly, canopy spectrums of winter wheat with narrow-band were resampled according to relative spectral response function of HJ-CCD and ZY-3. Then, a new index (PWI) was set up to estimate vegetation water content of winter wheat by improveing PDI (perpendicular drought index) and PVI (perpendicular vegetation index) based on NIR-Red spectral feature space. The results showed that the relationship between PWI and VWC(vegetation water content) was stable based on simulation of wide-band multispectral data HJ-CCD and ZY-3 with R-2 being 0.684 and 0.683, respectively. And then VWC was estimated by using PWI with the R-2 and RMSE being 0.764 and 0.764, 3.837% and 3.840%, respectively. The results indicated that PWI has certain feasibility to estimate crop water content. At the same time, it provides a new method for monitoring crop water content using remote sensing data HJ-CCD and ZY-3.

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