文献类型: 外文期刊
作者: Cheng Xiao-juan 1 ; Yang Gui-jun 1 ; Xu Xin-gang 1 ; Chen Tian-en 2 ; Li Zhen-hai 1 ; Feng Hai-kuan 1 ; Wang Dong 2 ;
作者机构: 1.Minist Agr, Natl Engn Res Ctr Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Key Lab Informat Technol Agr, Beijing 100097, Peoples R China
2.Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China
关键词: Vegetation water content(VWC); Equivalent water thickness(EWT); Canopy spectral; NDWI(Normalized Different Water Index); Winter wheat
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 12 期
页码:
收录情况: SCI
摘要: Moisture content is an important indicator for crop water stress condition, timely and effective monitoring crop water content is of great significance for evaluate crop water deficit balance and guide agriculture irrigation. In order to improve the saturated problems of different forms of typical NDWI (Normalized Different Water Index), we tried to introduce EVI(Enhanced Vegetation Index) to build new vegetation water indices(NDWI#) to estimate crop water content. Firstly, PROSAIL model was used to study the saturation sensitivity of NDWIs and NDWI# to canopy water content and LAI(Leaf Area Index). Then, the estimated model and verified model were estimated using the spectral data and moisture data in the field. The result showed that the new indices have significant relationships with canopy water content. In particular, by implementing modified standardized for NDWI1 450 NDWI1 940 NDWI2 500, The result indicated that newly developed indices with visible-infrared and shortwave infrared spectral feature may have greater advantage for estimation winter canopy water content.
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