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Open AccessArticle

Comparison of Vegetation Indices for Leaf Area Index Estimation in Vertical Shoot Positioned Vine Canopies with and without Grenbiule Hail-Protection Netting

1
Department of Viticulture and Oenology, Faculty of AgriSciences, Stellenbosch University, Matieland 7602, South Africa
2
AgriSat SA, Pasaje La Loma 983, La Cumbre (5178), Córdoba, Argentina
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 1073; https://doi.org/10.3390/rs11091073
Received: 13 February 2019 / Revised: 4 April 2019 / Accepted: 5 April 2019 / Published: 7 May 2019
(This article belongs to the Special Issue Leaf Area Index (LAI) Retrieval using Remote Sensing)
Leaf area per unit surface (LAI—leaf area index) is a valuable parameter to assess vine vigour in several applications, including direct mapping of vegetative–reproductive balance (VRB). Normalized difference vegetation index (NDVI) has been successfully used to assess the spatial variability of estimated LAI. However, sometimes NDVI is unsuitable due to its lack of sensitivity at high LAI values. Moreover, the presence of hail protection with Grenbiule netting also affects incident light and reflection, and consequently spectral response. This study analyses the effect of protective netting in the LAI–NDVI relationship and, using NDVI as a reference index, compares several indices in terms of accuracy and sensitivity using linear and logarithmic models. Among the indices compared, results show NDVI to be the most accurate, and ratio vegetation index (RVI) to be the most sensitive. The wide dynamic range vegetation index (WDRVI) presented a good balance between accuracy and sensitivity. Soil-adjusted vegetation index 2 (SAVI2) appears to be the best estimator of LAI with linear models. Logarithmic models provided higher determination coefficients, but this has little influence over the normal range of LAI values. A similar NDVI–LAI relationship holds for protected and unprotected canopies in initial vegetation stages, but different functions are preferable once the canopy is fully developed, in particular, if tipping is performed. View Full-Text
Keywords: Grenbiule netting; precision viticulture; multispectral images; vegetation indices Grenbiule netting; precision viticulture; multispectral images; vegetation indices
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MDPI and ACS Style

Towers, P.C.; Strever, A.; Poblete-Echeverría, C. Comparison of Vegetation Indices for Leaf Area Index Estimation in Vertical Shoot Positioned Vine Canopies with and without Grenbiule Hail-Protection Netting. Remote Sens. 2019, 11, 1073. https://doi.org/10.3390/rs11091073

AMA Style

Towers PC, Strever A, Poblete-Echeverría C. Comparison of Vegetation Indices for Leaf Area Index Estimation in Vertical Shoot Positioned Vine Canopies with and without Grenbiule Hail-Protection Netting. Remote Sensing. 2019; 11(9):1073. https://doi.org/10.3390/rs11091073

Chicago/Turabian Style

Towers, Pedro C.; Strever, Albert; Poblete-Echeverría, Carlos. 2019. "Comparison of Vegetation Indices for Leaf Area Index Estimation in Vertical Shoot Positioned Vine Canopies with and without Grenbiule Hail-Protection Netting" Remote Sens. 11, no. 9: 1073. https://doi.org/10.3390/rs11091073

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