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Monitoring of irrigated wheat in a semi‐arid climate using crop modelling and remote sensing data: Impact of satellite revisit time frequency

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The rationale of this research is to investigate approaches based on modelling and remote sensing data for estimating the spatial distribution of yield and irrigation of wheat in semi‐arid areas. The specific objective is to compare the performances of two approaches to test the STICS crop model using remotely sensed estimates of leaf area index (LAI). An experimental study of phenology, yield and water balance of irrigated wheat was made in the Marrakech‐Haouz plain during year 2003. Experimental data was allowed to run STICS using two approaches: (1) Calibration of the parameters that control the time course of LAI; (2) driving from LAI time series interpolated with a simple model. The results show the accuracy of STICS to simulate actual evapotranspiration and yield for both approaches. Finally, the two approaches were compared using remotely sensed estimates of LAI upon four scenarios of satellite time revisit frequency. The simulations we obtained always show acceptable results. However, differences appear between the variables, between the approaches and between the frequencies.

Document Type: Research Article


Affiliations: 1: Faculté des Sciences Semlalia (FSSM), Université Cadi Ayyad, Avenue Prince My Abdellah, BP 2390, Marrakech, Maroc 2: §Institut National de Recherche Agronomique (INRA), Département Environnement et Agronomie, UMR: CSE, Site Agroparc, 84914 Avignon Cedex 9, France 3: Centre d'Etudes Spatiales de la Biosphère (CESBIO), 18 Avenue Edouard Belin, bpi 2801, 31401 Toulouse cedex 9, France

Publication date: March 20, 2006

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