Earth Observation products for operational irrigation management in the context of the PLEIADeS project
| Autor: | Alfonso Calera, A. Perdigão, J. Garatuza-Pajan, R. Escadafal, Lahoucine Hanich, Guido D'Urso, J.B. Tapia, Francesco Vuolo, M. A. Osann, K. Richter |
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| Přispěvatelé: | D'Urso, Guido, Richter, K., Calera, A., Osann, M. A., Escadafal, R., Garatuza Pajan, J., Hanich, L., Perdigão, A., Tapia, J. B., Vuolo, F. |
| Rok vydání: | 2010 |
| Předmět: |
Earth observation
Irrigation Computer science Satellites Crop water requirements Soil Science Context (language use) Evapotranspirazione Water scarcity remote sensing Irrigazione Fabbisogno irriguo Irrigation management Earth-Surface Processes Water Science and Technology Estimation telerilevamento da satellite Evapotranspiration business.industry Environmental resource management Environmental engineering Agriculture Sustainability business Agronomy and Crop Science |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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