This paper reports on a Spatial Decision Support System (SDSS) for the early, medium, and short-Term forecast of irrigation needs in a semi-Arid Mediterranean environment. The SDSS is developed in the context of the "EarTH Observation for the Early forecasT of Irrigation needS (THETIS)"project supported by the Italian Space Agency (ASI). THETIS integrates hydrologic and crop growth models with advanced Earth Observation (EO) products, Artificial Intelligence (AI) and a WEBGIS interface to provide basin-scale information for efficient planning of irrigation resources. The study describes initial results concerning the irrigated area of the Apulian Tavoliere (AT) served by the Reclamation Consortium of the Capitanata, Foggia, Italy.

Earth Observation for the Early Forecast of Irrigation Needs

Satalino G.
;
Balenzano A.;Lovergine F.;Albertini C.;Palmisano D.;Mattia F.;Iacobellis V.;
2024

Abstract

This paper reports on a Spatial Decision Support System (SDSS) for the early, medium, and short-Term forecast of irrigation needs in a semi-Arid Mediterranean environment. The SDSS is developed in the context of the "EarTH Observation for the Early forecasT of Irrigation needS (THETIS)"project supported by the Italian Space Agency (ASI). THETIS integrates hydrologic and crop growth models with advanced Earth Observation (EO) products, Artificial Intelligence (AI) and a WEBGIS interface to provide basin-scale information for efficient planning of irrigation resources. The study describes initial results concerning the irrigated area of the Apulian Tavoliere (AT) served by the Reclamation Consortium of the Capitanata, Foggia, Italy.
2024
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA - Sede Secondaria Bari
Artificial Intelligence
Crop Model
Earth Observation
Hydrologic Model
Irrigation needs
SAR&Optical data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/522581
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