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Proceedings Paper

Estimation of net photosynthetic rate based on in-situ hyperspectral data
Author(s): Takahiro Endo; Toshinori Okuda; Masayuki Tamura; Yoshifumi Yasuoka
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Paper Abstract

Carbon absorption o f plant is one of the essential parameters in assessing terrestrial ecosystem functions with respect to global warning. It is however, not easy to estimate carbon absorption directly on the ground. In this study, an experiment method was designed to estimate the saturated Amax from hyperspectral data in the laboratory and in the field scale. First, we measure the relationship between biochemical concentrations and parameters of 'Blackman' photosynthetic rate model. Secondly, we measure the relationship between biochemical concentration and hyperspectral characteristics. High-resolution reflectance over a range of 333-2507 nm with resolution of about 1.5-10 nm and net Amax-photon flux density (PFD) were measured respectively by the GER 2600 and Li-6400. Also, chlorophyll a, chlorophyll b, chlorophyll a + b and nitrogen concentration were quantitative analyzed from in situ measurement of cucumber's fresh leaves that were cultivated for different biochemical concentration in a greenhouse chamber. Correlation between saturated Amax and chlorophyll a and nitrogen concentration was r2 equals 0.90, and 0.91 respectively. Chlorophyll b did not show any correlation with saturated Amax. Chlorophyll a and nitrogen concentrations were estimated by using the first derivative spectral reflectance of fresh leaf. RF' at 678.011 correlated best with chlorophyll a concentration. RF' at 732.122nm correlated best with nitrogen concentration. Finally net Amax at given PFD was estimated by the photosynthetic rate model. A correlation between the actual net Amax and the estimated net Amax was r2 equals 0.74. In this study, both chlorophyll a and nitrogen concentrations show good correlation with saturated Amax.

Paper Details

Date Published: 8 February 2001
PDF: 8 pages
Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); doi: 10.1117/12.417010
Show Author Affiliations
Takahiro Endo, Univ. of Tokyo (Japan)
Toshinori Okuda, National Institute for Environmental Studies (Japan)
Masayuki Tamura, National Institute for Environmental Studies (Japan)
Yoshifumi Yasuoka, Univ. of Tokyo (Japan)


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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