The study aims to consolidate and validate a suite of Earth Observation algorithms of interest for applications in agriculture. The algorithms are at different levels of maturity. Still, they share the objective of contributing to sustainable water management and food security. They deal with monitoring the soil moisture, the vegetation water content, the extent of irrigated areas and the changes in the surface roughness of agricultural fields. The paper introduces the data sets, the algorithms and discusses some examples of initial results.
MULTI-FREQUENCY SAR DATA FOR AGRICULTURE
Francesco Mattia;Anna Balenzano;Giuseppe Satalino;Francesco Lovergine;Annarita D'Addabbo;Davide Palmisano;Francesco Nutini;Mirco Boschetti;Giorgia Verza;
2022
Abstract
The study aims to consolidate and validate a suite of Earth Observation algorithms of interest for applications in agriculture. The algorithms are at different levels of maturity. Still, they share the objective of contributing to sustainable water management and food security. They deal with monitoring the soil moisture, the vegetation water content, the extent of irrigated areas and the changes in the surface roughness of agricultural fields. The paper introduces the data sets, the algorithms and discusses some examples of initial results.File in questo prodotto:
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