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...

Celý popis

Podrobná bibliografie
Hlavní autoři: Eva Lopez-Fornieles, Guilhem Brunel, Nicolas Devaux, Jean-Michel Roger, James Taylor, Bruno Tisseyre
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-10-01
Edice:Agronomy
Témata:
time series
multispectral imagery
remote sensing
folded methods
unsupervised methods
expertise gathering
On-line přístup:https://www.mdpi.com/2073-4395/12/10/2544

Internet

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

Podobné jednotky