
This Ph.D. research focuses on developing an integrated Spatial Information System (IrSpIS) to address challenges in managing small-scale irrigation schemes in Northern Ethiopia. Agriculture in Ethiopia, particularly in arid and semi-arid regions, is heavily reliant on rainfed systems that are vulnerable to erratic rainfall. To improve food security and economic development, the region has implemented numerous small-scale irrigation projects. However, these schemes often suffer from inadequate water use efficiency, water shortages, and a lack of coordinated management. This research aims to tackle these issues by creating a web-based system to support irrigation managers. The system will help in planning, execution, and monitoring of irrigation activities, with the ultimate goal of improving water use efficiency, increasing crop productivity, and enhancing the livelihoods of local communities. The research will involve characterizing irrigation schemes based on socio-economic, technical, and institutional factors, classifying them using remote sensing data, and evaluating their performance using a 'Triple Sensor' approach (combining in-situ measurements, remote sensing, and model-based analysis).
This Ph.D. research is structured around several key objectives and methodological approaches to develop and validate the Irrigation schemes Spatial Information System (IrSpIS).
Graduates with expertise in spatial information systems for irrigation management are equipped to contribute to food security and sustainable development initiatives. The developed IrSpIS system aims to directly assist irrigation managers at various levels.
This program is a Ph.D. research proposal, and specific admission requirements would typically be detailed on the university's admissions pages for Ph.D. candidates. This information is inferred from the nature of a Ph.D. proposal.
Tuition and living cost information is not available in the provided program description or supporting documents.
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