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Proceedings Paper

Method and device for remote sensing of vegetation
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Paper Abstract

In this paper we consider the problem of estimating chlorophyll content in vegetation using an experimental optical method from noisy spectral data. It is shown that the quantitative analysis of the spectral curves for the reflection of plant leaves may be the basis for development of new methods for interpretation of the data obtained by the remote measurement of plants. A mathematical model of vegetation reflectance is proposed to estimate the chlorophyll concentration from spectral data. Estimates are defined as minimizers of penalized cost functionals with sequential quadratic programming (SQP) methods. An estimation tool is related to the local scoring procedure for an generalized additive model. Experimental and simulation results are shown for different agricultural plants using a functional parametric fitting of spectral curves.

Paper Details

Date Published: 17 March 2003
PDF: 9 pages
Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); doi: 10.1117/12.462461
Show Author Affiliations
Svetlana M. Kochubey, Institute of Plant Physiology and Genetics (Ukraine)
Panos M. Pardalos, Univ. of Florida (United States)
Vitaliy A. Yatsenko, Scientific Foundation of Researchers and Specialists on Molecular Cybernetics and Informatics (Ukraine)

Published in SPIE Proceedings Vol. 4879:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IV
Manfred Owe; Guido D'Urso; Leonidas Toulios, Editor(s)

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