7 Topics
5 Days
35 Sessions
Programme Overview
Training Description
Session Objectives
- Understand the role of geospatial technologies in disaster risk analysis Identify, collect, and process spatial data for risk assessment Use GIS tools to map hazard zones and vulnerable populations Integrate remote sensing data for real-time disaster monitoring Apply spatial analysis to assess exposure, impact, and resilience Support early warning and preparedness with location-based insights Model multi-hazard risk scenarios using geospatial tools
About the Course
Strategic Geospatial Technologies for Disaster Risk Analysis is an advanced training course designed to equip disaster risk professionals, GIS specialists, emergency managers, planners, environmental practitioners, and decision-makers with the knowledge and practical skills required to use geospatial technologies to identify, map, analyze, model, and communicate disaster risks.Key areas include hazard and risk mapping, spatial vulnerability analysis, disaster scenario modelling, remote sensing applications, critical infrastructure mapping, population exposure analysis, early-warning systems, emergency response planning, and geospatial decision-support systems. The course also examines how emerging technologies and data analytics can improve disaster forecasting, preparedness, resource allocation, and resilience planning.Through practical exercises, case studies, mapping activities, and scenario-based analysis, participants will develop the ability to transform complex spatial data into actionable disaster risk intelligence and support evidence-based decisions throughout the disaster management cycle.
Curriculum & Topics
7 Topics | 35 Sessions
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Workshop 1.1:
Overview of GIS, GPS, and remote sensing tools
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Workshop 1.2:
Role of spatial data in disaster risk management
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Workshop 1.3:
Global frameworks and spatial standards for DRR
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Workshop 1.4:
Introduction to geospatial platforms and software
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Workshop 1.5:
Benefits of location intelligence in emergency planning
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Workshop 2.1:
Mapping flood, landslide, wildfire, and seismic zones
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Workshop 2.2:
Historical disaster footprint and hazard frequency analysis
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Workshop 2.3:
Spatial layers for risk exposure and vulnerability
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Workshop 2.4:
Integrating climate and demographic data into risk models
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Workshop 2.5:
Creating risk maps for decision-makers
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Workshop 3.1:
Remote sensing principles and platforms (e.g., Sentinel, Landsat)
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Workshop 3.2:
Image classification and change detection
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Workshop 3.3:
Thermal, radar, and multispectral imagery in risk analysis
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Workshop 3.4:
Monitoring environmental stressors and hazards
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Workshop 3.5:
Case studies of satellite data in real-time disaster response
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Workshop 4.1:
Spatial statistics and predictive modeling techniques
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Workshop 4.2:
Multi-criteria analysis for hazard-prone regions
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Workshop 4.3:
Terrain analysis and 3D risk visualization
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Workshop 4.4:
Simulating impact scenarios with GIS models
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Workshop 4.5:
Using spatial decision support systems
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Workshop 5.1:
Engaging local stakeholders in mapping processes
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Workshop 5.2:
Participatory risk mapping and data validation
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Workshop 5.3:
Mobile data collection using GPS and field apps
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Workshop 5.4:
Community asset mapping and evacuation planning
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Workshop 5.5:
Community asset mapping and evacuation planning
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Workshop 6.1:
Real-time geospatial dashboards and alerts
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Workshop 6.2:
Integrating IoT sensor data and satellite feeds
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Workshop 6.3:
Disaster response coordination with interactive maps
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Workshop 6.4:
Mapping shelters, health facilities, and response routes
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Workshop 6.5:
Tracking post-disaster recovery and damage
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Workshop 7.1:
Combining spatial, statistical, and social data
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Workshop 7.2:
Story maps and visual storytelling with GIS
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Workshop 7.3:
Creating policy briefs and disaster atlases
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Workshop 7.4:
Building geospatial databases for resilience planning
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Workshop 7.5:
Institutionalizing geospatial capacity for long-term DRR
