Developing the AquaInsight Tool: An Integrated Approach for Water Resources Management in Data Scarce Afghanistan
The project proposes developing AquaInsight, a comprehensive tool integrating remote sensing and hydrological models to assess water availability versus demand, detect supply–demand gaps, evaluate irrigation performance, and simulate water-management strategies embedded in policy scenarios for data-scarce settings.
Keywords
AquaInsight; water resources management; data-scarce regions; remote sensing; hydrological modeling; irrigation performance; evapotranspiration; SEBAL; climate change; Panj Amu River Basin
Countries
Afghanistan
Duration
2025 - 2028
Methodology
Remote-sensing based water-demand monitoring using Surface Energy Balance Algorithm, hydrological-model coupling and irrigation performance evaluation.
Partners
Main Cooperation Partners
Main Funding Partner
- Prof. Dr. Christian Borgemeister (Germany)
- Dr.-Ing. Bernhard Tischbein (Germany)
- Dr.-Ing. Usman Khalid Awan (Australia)
- Deutsche Forschungsgemeinschaft (German Research Foundation)
Team
- Dr.-Ing. Fazlullah Akhtar (PI)
- Prof. Dr. Christian Borgemeister
- Dr.-Ing. Bernhard Tischbein
- Dr.-Ing. Usman Khalid Awan