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

Huang, Wenjiang; Wang, Zhijie; Huang, Linsheng; Lamb, David; Ma, Zhihong; Zhang, Jincheng; Wang, Jihua; Zhao, Chungjiang

doi:10.1007/s11119-010-9166-5

Author(s)

Huang, Wenjiang

Wang, Zhijie

Huang, Linsheng

Lamb, David

Ma, Zhihong

Zhang, Jincheng

Wang, Jihua

Zhao, Chungjiang

Publication Date

2011

Abstract

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, ±20 and ±30°, at nadir, ±30 and ±40°, and at nadir, ±50 and ±60° 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.

Citation

Precision Agriculture, 12(2), p. 165-178

ISSN

1573-1618

1385-2256

Link

https://hdl.handle.net/1959.11/7379

Language

en

Publisher

Springer New York LLC

Title

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

Type of document

Journal Article

Entity Type

Publication

Author(s)	Huang, Wenjiang Wang, Zhijie Huang, Linsheng Lamb, David Ma, Zhihong Zhang, Jincheng Wang, Jihua Zhao, Chungjiang
Publication Date	2011
Abstract	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, ±20 and ±30°, at nadir, ±30 and ±40°, and at nadir, ±50 and ±60° 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.
Citation	Precision Agriculture, 12(2), p. 165-178
ISSN	1573-1618 1385-2256
Link	https://hdl.handle.net/1959.11/7379
Language	en
Publisher	Springer New York LLC
Title	Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat
Type of document	Journal Article
Entity Type	Publication

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

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