Earth Observation products for operational irrigation management in the context 
of the PLEIADeS project

D’Urso, G.; Berger [Richter], Katja; Calera, A.; Osann, M.A.; Escadafal, R.; Garatuza-Pajan, J.; Hanich, L.; Perdigão, A.; Tapia, J.B.; Vuolo, F.

doi:10.1016/j.agwat.2010.08.020

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Earth Observation products for operational irrigation management in the context of the PLEIADeS project

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D’Urso, G.
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Berger [Richter], Katja
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Calera, A.
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Osann, M.A.
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Escadafal, R.
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Garatuza-Pajan, J.
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Hanich, L.
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Perdigão, A.
External Organizations;

Tapia, J.B.
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Vuolo, F.
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Citation

D’Urso, G., Berger [Richter], K., Calera, A., Osann, M., Escadafal, R., Garatuza-Pajan, J., Hanich, L., Perdigão, A., Tapia, J., Vuolo, F. (2010): Earth Observation products for operational irrigation management in the context of the PLEIADeS project. - Agricultural Water Management, 98, 2, 271-282.
https://doi.org/10.1016/j.agwat.2010.08.020

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5027976

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.