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Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat

文献类型: 外文期刊

作者: Huang, Wenjiang 1 ; Wang, Zhijie 1 ; Huang, Linsheng 6 ; Lamb, David W. 4 ; Ma, Zhihong 1 ; Zhang, Jincheng 1 ; Wang, 1 ;

作者机构: 1.Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

3.Beijing Normal Univ, Beijing 100101, Peoples R China

4.Univ New England, Sch Sci & Technol, Precis Agr Res Grp, Armidale, NSW 2351, Australia

5.Univ Lethbridge, Dept Phys & Astron, Lethbridge, AB T1K 3M4, Canada

6.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Pro

关键词: winter wheat.;Bi-directional reflectance difference function;Chlorophyll concentration;Vertical distribution;Canopy chlorophyll inversion index;Internet resource.

期刊名称:PRECISION AGRICULTURE ( 影响因子:5.385; 五年影响因子:5.004 )

ISSN:

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收录情况: SCI

摘要: An effective technique to measure foliage chlorophyll concentration (Chl) at a large scale and within a short time could be a powerful tool to determine fertilization amount for crop management. The objective of this study was to investigate the inversion of foliage Chl vertical-layer distribution by bi-directional reflectance difference function (BRDF) data, so as to provide a theoretical basis for monitoring the growth and development of winter wheat and for providing guidance on the application of fertilizer. Remote sensing could provide a powerful tool for large-area estimation of Chl. Because of the vertical distribution of leaves in a wheat stem, Chl vertical distribution characteristics show an obvious decreasing trend from the top of the canopy to the ground surface. The ratio of transformed chlorophyll absorption reflectance index (TCARI) to optimized soil adjusted vegetation index (OSAVI) was called the canopy chlorophyll inversion index (CCII) in this study. The value of CCII at nadir, pl20 and pl30p, at nadir, pl30 and pl40p, and at nadir, pl50 and pl60p view angles were selected and assembled as bottom-layer Chl inversion index (BLCI), middle-layer Chl inversion index (MLCI), and upper-layer Chl inversion index (ULCI), respectively, for the inversion of Chl at the vertical bottom layer, middle layer, and upper layer. The root mean squared error (RMSE) between BLCI-, MLCI-, and ULCI-derived and laboratory-measured Chl were 0.7841, 0.9426, and 1.7398, respectively. The vertical foliage Chl inversion could be used to monitor the crop growth status and to guide fertilizer and irrigation management. The results suggested that vegetation indices derived from bi-directional reflectance spectra (e.g., BLCI, ULCI, and MLCI) were satisfactory for inversion of the Chl vertical distribution.

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