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Proceedings Paper

Reflectance modeling of vineyards under water stress based on the coupling between 3D architecture and water balance model
Author(s): R. López-Lozano; F. Baret; I. García de Cortázar Atauri; B. Tisseyre; E. Lebon
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Paper Abstract

A vineyard architecture model coupled with a soil water balance model is used to explore the links between vineyard reflectance in different scenarios of plant water stress, taking into account meteorological data, agricultural data and site specific information to produce virtual 3D scenes describing vineyard canopies. The ability of the model to predict LAI dynamics was evaluated against destructive measurements in four experimental sites producing reasonable results (RMSE=0.30). The model was run in direct mode to simulate vineyard canopies with three different levels of water stress (no irrigation, intermediate irrigation and full irrigation). Canopy reflectance and NDVI vegetation index were calculated for the simulated scenes using ray-tracing techniques. The results show that vineyard water stress can be detected in vineyard canopies through LAI estimation from canopy reflectance and NDVI. However, the links between LAI and reflectance are highly influenced by canopy architecture at zenith viewings: the effect of agricultural practices as trellis system or pruning should be taken into account to interpret correctly reflectance data. The sensitivity of reflectance to vineyard architecture depends on the viewing direction: at zenith the contribution of row dimensions and leaf spatial distribution is maxima, while at viewing zenith angles > 60° and azimuth perpendicular to rows, sensitivity of reflectance to LAI is enhanced, with a small influence of vineyard architecture.

Paper Details

Date Published: 18 September 2009
PDF: 12 pages
Proc. SPIE 7472, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, 74720H (18 September 2009); doi: 10.1117/12.830057
Show Author Affiliations
R. López-Lozano, UMR EMMAH, INRA (France)
F. Baret, UMR EMMAH, INRA (France)
I. García de Cortázar Atauri, UMR Agroclim, INRA (France)
B. Tisseyre, UMR ITAP, Montpellier (France)
E. Lebon, UMR LEPSE, INRA (France)

Published in SPIE Proceedings Vol. 7472:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XI
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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