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Effect of factors related to the training system in vineyards on a remotely-sensed vegetative index

Abstract : Viticultural applications of remotely sensed images are generally interpreted at an individual field level. At larger scales, e.g. across an appellation, the effect on the image response of variations in vine management between individual fields is not well understood and has limited imagery applications at these scales. To investigate this, an intensive survey of vine management was conducted on the Lauze domain at Tavel, southern France and vine management was then related to the response of a vegetative index, the fraction of green leaf cover (GLCV), using one-way ANOVA. Several factors including vine density, type of trellising system, interrow weed management and the age of vines were shown to significantly affect the GLCV response (p
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Conference papers
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https://hal.inrae.fr/hal-02595689
Contributor : Migration Irstea Publications <>
Submitted on : Friday, May 15, 2020 - 8:18:07 PM
Last modification on : Friday, April 16, 2021 - 3:29:22 AM

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  • HAL Id : hal-02595689, version 1
  • IRSTEA : PUB00033010

Citation

Bruno Tisseyre, J.C. Payan, E. Salançon, James Taylor. Effect of factors related to the training system in vineyards on a remotely-sensed vegetative index. 17th symposium of the group of international experts of vitivinicultural for cooperation, Sep 2011, Asti, Italy. pp.213-216. ⟨hal-02595689⟩

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