Application of Parallel Factor Analysis (PARAFAC) to the Regional Characterisation of Vineyard Blocks Using Remote Sensing Time Series

Application of Parallel Factor Analysis (PARAFAC) to the Regional Characterisation of Vineyard Blocks Using Remote Sensing Time Series

Monitoring wine-growing regions and maximising the value of production based on their region/local specificities requires accurate spatial and temporal monitoring. The increasing amount and variability of information from remote sensing data is a potential tool to assess this challenge for the grape...

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Bibliographic Details
Main Authors: Eva Lopez-Fornieles, Guilhem Brunel, Nicolas Devaux, Jean-Michel Roger, James Taylor, Bruno Tisseyre
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agronomy
Subjects:
time series
multispectral imagery
remote sensing
folded methods
unsupervised methods
expertise gathering
Online Access:https://www.mdpi.com/2073-4395/12/10/2544

Internet

https://www.mdpi.com/2073-4395/12/10/2544

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