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Proceedings Paper

Integration of satellite-based energy balance with simulation models applied to irrigation management at an irrigation scheme of southern Spain
Author(s): Cristina Santos; Ignacio J. Lorite; Masahiro Tasumi; Richard G. Allen; Pedro Gavilan; Elías Fereres
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Paper Abstract

This paper combines a water balance model with satellite-based remote-sensing estimates of evapotranspiration (ET) to provide accurate irrigation scheduling guidelines for individual fields. The satellite-derived ET was used in the daily soil water balance model to improve accuracy of field-by-field ET demands and subsequent field-scale irrigation schedules. The combination of satellite-based ET with daily soil water balance incorporates the advantages of satellite remote-sensing and daily calculation time steps, namely, high spatial resolution and high temporal resolution. The procedure was applied to Genil - Cabra Irrigation Scheme in Spain, where irrigation water supply is often limited by regional drought. Compared with traditional applications of water balance models (i.e. without the satellite-based ET), the combined procedure provided significant improvements in irrigation schedules for both the average condition and when considering field-to-field variability. A 24% reduction in water use was estimated for cotton if the improved irrigation schedules were followed. Irrigation efficiency calculated using satellite-based ET and actual applied irrigation water helped to identify specific agricultural fields experiencing problems in water management, as well as to estimate general irrigation efficiencies of the scheme by irrigation and crop type. Estimation of field irrigation efficiency ranged from 0.72 for cotton to 0.90 for sugar beet.

Paper Details

Date Published: 10 October 2007
PDF: 12 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420P (10 October 2007); doi: 10.1117/12.737740
Show Author Affiliations
Cristina Santos, Instituto de Investigación y Formación Agraria y Pesquera (Spain)
Ignacio J. Lorite, Instituto de Investigación y Formación Agraria y Pesquera (Spain)
Masahiro Tasumi, Univ. of Miyazaki (Japan)
Richard G. Allen, Univ. of Idaho (United States)
Pedro Gavilan, Instituto de Investigación y Formación Agraria y Pesquera (Spain)
Elías Fereres, Univ. of Córdoba (Spain)

Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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