Extraction of biophysical parameters and modelization of leaf reflectance

Pascale Beaumont; Dominique Vignes; Claude Tosca; J. P. Gastellu-Etchegorry

doi:10.1117/12.200745

31 January 1995 Extraction of biophysical parameters and modelization of leaf reflectance

Pascale Beaumont, Dominique Vignes, Claude Tosca, J. P. Gastellu-Etchegorry

Proceedings Volume 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources; (1995) https://doi.org/10.1117/12.200745
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

The model of leaf reflectance PROSPECT was used to test the capability to describe a leaf water stress. Two types of water stress were set up: a strong and sudden stress and a moderate and progressive one. The measurements of chlorophylls a and b contents, water content and equivalent water thickness assessments, and the estimation of the N leaf structure parameter supplied the three parameters of entry necessary for a functioning model. So it was possible to simulate the reflectance spectrum in visible, near, and mid infrared domains. Calculated values were significantly correlated to measured values whatever the type of applied deficit. Nevertheless, correlations were more significant in the strong deficit case. In the progressive water stress case, the analysis showed best correlations for deficient plants (R² equals 0.869) than for the unstressed controls (R² equals 0.716). These results show the problem of the single nonmeasured parameter N. So we tried to determine the value of the N parameter form the anatomical section observation of the limb in the end of a flowering stage.

Citation Download Citation

Pascale Beaumont, Dominique Vignes, Claude Tosca, and J. P. Gastellu-Etchegorry "Extraction of biophysical parameters and modelization of leaf reflectance", Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); https://doi.org/10.1117/12.200745

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KEYWORDS

Reflectivity

Interfaces

Control systems

Humidity

Visible radiation

Natural surfaces

Tissues

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