Geoinformatics for Dust Disaster Risk Management
Leveraging Geoinformatics (Remote Sensing & GIS) for Dust Disaster Risk Management (DDRM) Planning – (Online Live Knowledge Transfer).
June 10–11, 2025 | Organized by World-Academies Startup, Technical University of Dresden, Germany in collaboration with GeoAI Environmental Engineering Consultancy LLC, Abu Dhabi, UAE.
Workshop Overview
Over two days—each with a morning and an afternoon session—you gain insights of the data, models and RS & GIS data analysis for Dust Disaster Risk Management planning, through interactive lectures and open discussions:
- Introduction to Geoinformatics, Remote Sensing (RS) and GIS
- Theoretical Background on Land Degradation, Drought & Dust Storms
- RS & GIS for Dust Hazard Profiling, Vulnerability & Risk Mapping
- Contingency Planning Integrating Geoinformatics for Dust DRM
Detailed Schedule
| Day & Time (CET) | Module |
|---|---|
| Day 1 Morning 10:00 – 12:00 | Lecture 1: Introduction to Geoinformatics, Remote Sensing (RS) and GIS (90 Min) • Introduce key Geoinformatics concepts • Overview to the chain of remote sensing image analysis • Link and synergy of RS & GIS • RS data, GIS tools, and their role in environmental studies Open Discussions (30 Min): |
| Day 1 Afternoon 13:00 – 15:00 | Lecture 2: Theoretical Background on Land Degradation, Drought & Dust Storms (90 Min) • Formation: Understanding the processes driving dust storms • Case Studies: Examples linking Geoinformatics to land degradation, drought, and dust storms from local to global scales • Case Studies: Examples linking remote sensing data to dust source susceptibility mapping from local to regional scales Open Discussions (30 Min): |
| Day 2 Morning 10:00 – 12:00 | Lecture 3. Geoinformatics for Dust Hazard Profiling, Vulnerability & Risk Mapping (90 Min) • Formation: Apply remote sensing techniques for environmental hazard profiling • Case Studies: Examples linking remote sensing time series data to dust hazard profiling & analysis • Formation: Methods to assess vulnerability and risks of dust hazard • Case Studies: Examples linking remote sensing time series data to vulnerability & risk mapping from local to national scales Open Discussions (30 Min): |
| Day 2 Afternoon 13:00 – 15:00 | Lecture 4: Contingency Planning Integrating Geoinformatics for Dust DRM (90 Min) • Formation: Exploring DRR documents and frameworks (e.g., Sendai, ISO 31000) • Case Studies: Develop risk-oriented DDRM for Dust Hazard in Agriculture • Case Studies: Develop risk-oriented DDRM for Dust Hazard in Cities Open Discussions (30 Min): |
Pre-requisites / Target Audience
Participants should have:
- Basic Geoinformatics Background: Familiarity with GIS and foundational remote sensing concepts
- Fundamental Physics Knowledge: A basic understanding of electromagnetic radiation, sensor characteristics, and radiometric principles
- Data Analysis Basics: Exposure to data analysis techniques; familiarity with statistical methods and an interest in AI/ML applications is a plus
- Environmental Background: An undergraduate-level background in environmental studies, geography, or related fields
Wrap-Up and Feedback
- Closing Discussion: Recap key insights from both days.
- Q&A Session: Open forum for clarifications and discussion of potential applications in participants’ work.
Useful Links:
LinkedIn: https://www.linkedin.com/company/geoai-consultaing
Website: https://geoai-consulting.com
Email: info@geoai-consulting.com
Registration Form
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