Interdisciplinary Research Collaboration in Water Resource Management, Utilizing Remote Sensing and Machine Learning.

The University of Mohamed Khider Biskra, established in 1983, is a prominent non-profit public higher education institution situated in the urban landscape of Biskra, a medium-sized city. Accredited by the Ministry of Higher Education and Scientific Research, it caters to a sizable student body, with an enrollment range between 30,000 to 34,999 students. The university prides itself on being coeducational and offers a diverse range of courses and programs leading to various officially recognized higher education degrees, including bachelor's, master's, and doctorate degrees across multiple fields of study.

Objective:

- Develop advanced models leveraging remote sensing and machine learning techniques to enhance decision-making in the water management sector.
- Integrate an interdisciplinary approach, considering the Water-Energy-Food-Ecosystems (WEFE) nexus to address complex challenges comprehensively.

Expertise Utilized:

- Leverage extensive experience in remote sensing and machine learning methodologies.
- Employ synergistic integration of these techniques to maximize effectiveness in water resource management.
Task Overview:

Undertake comprehensive assessments focusing on two main aspects:
1- Water Quality: Evaluate various parameters to gauge surface and groundwater quality.
2- Water Quantity: Assess volumes, levels, and discharge rates to understand hydrological dynamics.

Approach:

- Utilize remote sensing technologies to gather spatial and temporal data on water quality and quantity.
- Employ machine learning algorithms to analyze collected data and derive actionable insights.
- Implement an integrated approach, considering the interdependencies within the WEFE nexus to ensure holistic understanding and decision-making.

- Remote Sensing
- Machine Learning
- Water Management
- Decision-making
- Integrated Approach
- WEFE Nexus
- Sustainability
- Resilience
- Decision Support Systems