Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model

• Published in: Agricultural water management Vol. 293; p. 108704
• Main Authors: Laluet, Pierre, Olivera-Guerra, Luis Enrique, Altés, Víctor, Paolini, Giovanni, Ouaadi, Nadia, Rivalland, Vincent, Jarlan, Lionel, Villar, Josep Maria, Merlin, Olivier
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2024; Elsevier Masson; Elsevier
• Subjects: Continental interfaces, environment; Data assimilation; deficit irrigation; Irrigation amounts; irrigation rates; irrigation scheduling; Microwave; Ocean, Atmosphere; Remote sensing; Sciences of the Universe; Soil moisture; soil water; Spain; uncertainty; Water balance model; Spain; Microwave; Soil moisture; Water balance model; Irrigation amounts; Remote sensing; Data assimilation; Irrigation amounts Data assimilation Soil moisture Water balance model Remote sensing Microwave
• ISSN: 0378-3774; 1873-2283
• DOI: 10.1016/j.agwat.2024.108704

Irrigation is the most water consuming activity in the world. Knowing the timing and amount of irrigation that is actually applied is therefore fundamental for water managers. However, this information is rarely available at all scales and is subject to large uncertainties due to the wide variety of...