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The worldwide problem of underperformance of large scale irrigation systems particularly in developing countries, is addressed through the improvement of the internal decision making process, by utilizing the feedback information from the evaluation and monitoring process of the system performance. The difficulty encountered in collecting field data by conventional field observations, which is the main reason hindering the performance evaluation of large scale irrigation systems, is overcome by employing the emerging techniques of Remote Sensing and Geographical Information System, to obtain…mehr

Produktbeschreibung
The worldwide problem of underperformance of large scale irrigation systems particularly in developing countries, is addressed through the improvement of the internal decision making process, by utilizing the feedback information from the evaluation and monitoring process of the system performance. The difficulty encountered in collecting field data by conventional field observations, which is the main reason hindering the performance evaluation of large scale irrigation systems, is overcome by employing the emerging techniques of Remote Sensing and Geographical Information System, to obtain reliable, unbiased field data, and to easily manipulate, analyze and present in a clear, fast, and cost effective way. The approach is demonstrated through a case study of El Rahad Irrigation Scheme in Sudan.
Autorenporträt
Dr. Salih Hamad Hamid Omer is a Sudanese professional with extensive experience in Water Resources Modelling and Decision Support Systems, Procurement of Goods, Works, & Consultants, Development Studies, Operation, Management, and Coordination of Large Scale Irrigation Systems Rehabilitation Projects.