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Proceedings Paper

A monitoring system for agricultural crops on chlorophyll basis
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Paper Abstract

It is shown that the spectral curve of reflectance of vegetation contains the sufficient information to create a set of parameters for effective monitoring of agricultural crops. Most of them are based on the chlorophyll estimation or characteristics, which are dependent on specific influence of inner structure of plant tissues on leaf reflection in the region of chlorophyll absorption. New chlorophyll indices are proposed for estimation of chlorophyll content in leaves using the shape of leaf reflectance curves. The ratio of two maxima in the 1-st derivative plot from reflectance spectral curve in 680-750 nm region has been shown to correlate with chlorophyll content in winter wheat leaves. Independent component analysis of reflectance spectral curves has been applied as well. An interrelation between the chlorophyll concentration and vectors of principal components has been found. The estimates of the chlorophyll content by using of these parameters and regression equations gave suitable results. Comparison of two approaches has been performed. Stability of both approaches with regard to incomplete project covering have been tested. Usage of physical and graphical models permits to estimate stability in calculation results of chlorophyll concentration influence of soil reflection. It has been shown that the ratio of two maxima in the 1-st derivative plot was changed now more than 5% and 11% under 50 % and 25 % projective cover, respectively, on a background of dark soil or sand. The reflectance coefficient at 550 nm correlates with chlorophyll content but it is highly sensitive to contribution of soil reflectance. Therefore combination of chlorophyll estimates obtained by red edge parameters and the reflectance coefficient at 550 nm gives possibility to estimate a projective covering. We shown that principal components approach is resistant to influence of project covering.

Paper Details

Date Published: 24 February 2004
PDF: 8 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.512074
Show Author Affiliations
Svetlana M. Kochubey, Institute of Plant Physiology and Genetics (Ukraine)
Vitaliy Alexeevich Yatsenko, Space Research Institute (Ukraine)
National Space Agency of Ukraine (Ukraine)


Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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