RTM Inversion through Predictive Equations for Multi-Crop LAI Retrieval Using Sentinel-2 Images

RTM Inversion through Predictive Equations for Multi-Crop LAI Retrieval Using Sentinel-2 Images

Near-real-time, high-spatial-resolution leaf area index (LAI) maps would enable producers to monitor crop health and growth status, improving agricultural practices such as fertiliser and water management. LAI retrieval methods are numerous and can be divided into statistical and physically based me...

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Bibliographic Details
Main Authors:	Michele Croci, Giorgio Impollonia, Andrea Marcone, Giulia Antonucci, Tommaso Letterio, Michele Colauzzi, Marco Vignudelli, Francesca Ventura, Stefano Anconelli, Stefano Amaducci
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Agronomy
Subjects:	LAI precision agriculture empirical model PROSAIL LUT predictive equation
Online Access:	https://www.mdpi.com/2073-4395/12/11/2835

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