The water productivity (kg m−3) of rice in la Saison

Abstract

The irrigation performance of the Office du Niger in Mali, a large-scale rice-based irrigation scheme, was analysed with the use of remote sensing technology. The major advantage of remote sensing derived data over field measured data is that it provides system-wide, spatially distributed and objective information. Four irrigation performance indicators, entirely based on remote sensing, were applied at different organisational levels of the system. The surface energy balance algorithm for land model was applied to high-resolution Landsat images to calculate rice production and water consumption spatially. These maps were used to analyse the productivity of water, the uniformity of water consumption and head-/tail-enders issues at the level of the system, the five administrative zones and smaller management units (casiers). The sustainability of the system was assessed using a long-term time series of the normalised difference vegetation index. The results were discussed and interpreted with the irrigation managers of the Office du Niger. The analysis provided new insights in the performance of the system such as existing head–tail patterns in water consumption and rice yields.

Citation

Zwart, S.J., and L.M.C. Leclert. 2010. A remote sensing-based irrigation performance assessment: a case study of the Office du Niger in Mali. Irrigation Science 28:371-385. (Full-text available at http://www.springerlink.com/content/m224788307648506/)

Contact

Sander Zwart (AfricaRice) This e-mail address is being protected from spambots. You need JavaScript enabled to view it