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Proceedings Paper

Hyperspectral reflectance measurements for estimating eco-physiological status of plants
Author(s): Yoshio Inoue; Josep Penueleus; Yann Nouevllon; M. Susan Moran
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Paper Abstract

An AOTF-based spectral imager was developed for hyperspectral measurement of plant reflectance in the field. A hyperspectral image cube for the spectral region between 450 nm-900 nm can be obtained at 3 to 5 nm resolution intervals within a few seconds. The system is light and compact, and both the spectral wavelengths and intervals are programmable with PC control. Wavelengths can be rapidly tuned, either sequentially or randomly. Hyperspectral measurements were taken over plant leaves and canopies using the AOTF system and a high-resolution radiometer. Both the leaf nitrogen and chlorophyll contents of the rice canopies were well estimated by multiple regression of high- resolution data in the visible and near-IR regions. A weak signal at 970nm and its normalized indices were found to be useful for estimation of leaf water content. An approach of model inversion was enabled by the use of hyperspectral data. A close and linear relation was found between measured and retrieved water contents. Further, an analysis based on concurrent measurements of hyperspectral reflectance and canopy gas exchange by eddy-covariance method suggested the potential of normalized weak signal for the spectral assessment of canopy CO2 uptake. The hyperspectral reflectance measurement has great potential for estimating the ecological and physio-chemical variables of plant leaves and canopies.

Paper Details

Date Published: 8 February 2001
PDF: 11 pages
Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); doi: 10.1117/12.417003
Show Author Affiliations
Yoshio Inoue, National Institute of Agro-Environmental Sciences (Japan)
Josep Penueleus, Univ. Autonoma de Barcelona (Spain)
Yann Nouevllon, U.S. Water Conservation Lab. (United States)
M. Susan Moran, U.S. Water Conservation Lab. (United States)

Published in SPIE Proceedings Vol. 4151:
Hyperspectral Remote Sensing of the Land and Atmosphere
William L. Smith; Yoshifumi Yasuoka, Editor(s)

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