Abstract
Controlled and efficient agricultural irrigation management is required to avoid negative effects of the increasing world water scarcity and therefore to assure a sustainable production. Within this context, the project ‘Participatory multi-Level EO-assisted tools for Irrigation water management and Agricultural Decision-Support’ (PLEIADeS: http://www.pleiades.es) addressed the efficient and sustainable use of water for food production in water-scarce environments. The project aimed at improving the performance of irrigation schemes by means of a range of measures, made possible through wide space–time coverage of Earth Observation (E.O.) data and interactive networking capabilities of Information and Communication Technologies (ICT). Project partners, represented by a set of pilot case-studies, included a broad range of conditions characteristic for the European, Southern Mediterranean and American regions. Algorithms for a number of basic products for the estimation of Irrigation Water Requirements (IWR) have been defined in an operational framework. In this study a review of application of these algorithms, applied and validated within different case-studies during the project, is presented.
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