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Comparison of vegetation indices for leaf area index estimation in vertical shoot positioned vine canopies with and without grenbiule hail-protection netting

dc.contributor.authorTowers, Pedro C.en_ZA
dc.contributor.authorStrever, Alberten_ZA
dc.contributor.authorPoblete-Echeverria, Carlosen_ZA
dc.date.accessioned2019-11-11T12:20:06Z
dc.date.available2019-11-11T12:20:06Z
dc.date.issued2019-05-07
dc.identifier.citationTowers, P. C., Strever, A. & Poblete-Echeverria, C. 2018. Comparison of vegetation indices for leaf area index estimation in vertical shoot positioned vine canopies with and without grenbiule hail-protection netting. Remote Sensing, 11(9): 1073, doi:10.3390/rs11091073en_ZA
dc.identifier.issn2072-4292 (online)
dc.identifier.otherdoi:10.3390/rs11091073
dc.identifier.urihttp://hdl.handle.net/10019.1/106825
dc.descriptionCITATION: Towers, P. C., Strever, A. & Poblete-Echeverria, C. 2018. Comparison of vegetation indices for leaf area index estimation in vertical shoot positioned vine canopies with and without grenbiule hail-protection netting. Remote Sensing, 11(9): 1073, doi:10.3390/rs11091073.en_ZA
dc.descriptionThe original publication is available at https://www.mdpi.comen_ZA
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund.en_ZA
dc.description.abstractLeaf 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.en_ZA
dc.description.urihttps://www.mdpi.com/2072-4292/11/9/1073
dc.format.extent16 pages : illustrationsen_ZA
dc.language.isoen_ZAen_ZA
dc.publisherMDPIen_ZA
dc.subjectVegetation indicesen_ZA
dc.subjectGrenbiule nettingen_ZA
dc.subjectPrecision viticultureen_ZA
dc.subjectDetermination of grape qualityen_ZA
dc.subjectVertical shoot positioned canopiesen_ZA
dc.titleComparison of vegetation indices for leaf area index estimation in vertical shoot positioned vine canopies with and without grenbiule hail-protection nettingen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's versionen_ZA
dc.rights.holderAuthor retains copyrighten_ZA


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