Evaluation of spectral-based and canopy-based vegetation indices from UAV and Sentinel 2 images to assess spatial variability and ground vine parameters. (1st June 2017)

• Record Type: Journal Article
• Authors: Matese, A.; Di Gennaro, S. F.; Miranda, C.; Berton, A.; Santesteban, L.G.
• Is Part Of: Advances in animal biosciences. Volume 8:Number 2(2017)
• Page Start: 817
• Page End: 822
• Publication Date: 2017-06-01
• Subjects: UAV, -- Sentinel-2, -- NDVI, -- spatial variability, -- canopy architecture; Animal nutrition -- Periodicals; Animal breeding -- Periodicals; Animal genetics -- Periodicals; Animal biotechnology -- Periodicals; Environmental sciences -- Periodicals; 636.005
• DOI: 10.1017/S2040470017000929
• Languages: English
• ISSNs: 2040-4700

Abstract

Abstract : New remote sensing technologies have provided unprecedented results in vineyard monitoring. The aim of this work was to evaluate different sources of images and processing methodologies to describe spatial variability of spectral-based and canopy-based vegetation indices within a vineyard, and their relationship with productive and qualitative vine parameters. Comparison between image-derived indices from Sentinel 2 NDVI, unfiltered and filtered UAV NDVI and with agronomic features have been performed. UAV images allow calculating new non-spectral indices based on canopy architecture that provide additional and useful information to the growers with regards to within-vineyard management zone delineation.