Registration: Link
Key Topics Covered
This webinar will explore innovative approaches that enhance the use of remote sensing for water resources assessment and informed decision-making. Drawing on practical experiences from the Middle East, the Gulf, and across Africa, the session will offer insights into both the potential and current limitations of AI-integrated geospatial tools.
Potential Focus Areas
The content is designed for practitioners and researchers who are already familiar with remote sensing tools and are looking to deepen their expertise in applied AI and open-source geospatial platforms.
Who Should Attend?
This webinar is intended for professionals and researchers operating at the intersection of water management, environmental monitoring, and geospatial technologies. It will be especially relevant for those interested in leveraging AI and open-source tools to support evidence-based decision-making in water-stressed regions.
Key Topics Include:
- What’s Next? Trends, Gaps, and Paths for Collaboration
An exploration of current gaps in skills, data integration, and institutional adoption, along with opportunities for regional collaboration and capacity building in the years ahead.
- Open Platforms for Regional Collaboration
An introduction to platforms such as Digital Earth Africa and their relevance for enabling large-scale water intelligence initiatives in Africa and the Arab region.
- Hands-On Exploration of Google Earth Engine (GEE)
A practical walkthrough of key GEE functionalities, showcasing case studies involving time-series analysis and image classification for hydrological monitoring.
- Artificial Intelligence in Earth Observation
Real-world applications of machine learning and deep learning in water-related modeling tasks such as flood detection, crop water productivity assessment, and evapotranspiration estimation.
- The Evolving Role of Remote Sensing in Water Management
A discussion on how satellite-based observation is being transformed through improved data availability, platform interoperability, and the rise of analytics-ready datasets.
Target Participants
- Remote sensing specialists looking to enhance their skills in AI-enabled analysis and cloud-based platforms
- Water resources engineers and planners involved in hydrological modeling, flood risk assessment, irrigation planning, or climate adaptation
- GIS analysts and technical staff from government agencies, research institutions, and NGOs managing geospatial data related to land, water, and agriculture
- Policy advisors and decision-makers seeking to understand the role of open platforms and AI tools in strengthening water governance, particularly in arid and semi-arid regions
- University faculty, graduate students, and researchers in environmental science, hydrology, or Earth observation with an interest in applied, data-driven approaches
- Development practitioners and donors exploring digital solutions for water security, climate resilience, and regional cooperation
