Estimating Processing Tomato Water Consumption, Leaf Area Index, and Height Using Sentinel-2 and VENµS Imagery

Crop monitoring throughout the growing season is key for optimized agricultural production. Satellite remote sensing is a useful tool for estimating crop variables, yet continuous high spatial resolution earth observations are often interrupted by clouds. This paper demonstrates overcoming this limi...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Gregoriy Kaplan, Lior Fine, Victor Lukyanov, V. S. Manivasagam, Nitzan Malachy, Josef Tanny, Offer Rozenstein
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-03-01
Schriftenreihe:	Remote Sensing
Schlagworte:	Sentinel-2 VENµS Eddy covariance crop coefficient LAI vegetation indices
Online-Zugang:	https://www.mdpi.com/2072-4292/13/6/1046
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