7 Topics
5 Days
Programme Overview
Training Description
Disaster and Crisis Management Staff
NGO and Humanitarian Aid Workers
Government Emergency Planners
Public Health and Epidemiology Experts
First Responders and Security Personnel
GIS and Remote Sensing Specialists
Data Analysts and Researchers
Journalists and Communication Officers
Session Objectives
- Enhance Situational Awareness Master Geospatial Data Collection Conduct Rapid Impact Assessments Utilize Open-Source Mapping Tools Improve Coordination and Resource Allocation
About the Course
Transform raw emergency data into actionable intelligence during high-stakes disasters. This practical course empowers humanitarian and emergency response professionals to harness geospatial data, remote sensing, and real-time social media analytics to dramatically enhance situational awareness and resource allocation.
Through hands-on application of modern crisis mapping platforms, attendees will master methodologies for dynamic spatial visualization, rapid needs assessment, and secure data governance under pressure—ensuring swift, data-driven decision-making when every minute counts.
Curriculum & Topics
7 Topics | 5 Days
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Subtopic 1.1:
Principles of crisis mapping and geospatial emergency response
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Subtopic 1.2:
Core components of rapid response analytics
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Subtopic 1.3:
Tools and platforms for emergency mapping workflows
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Subtopic 1.4:
Role of data visualization in disaster decision-making
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Subtopic 1.5:
Case studies of high-impact crisis mapping operations
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Subtopic 2.1:
Mobile data collection tools (e.g., KoboToolbox, ODK)
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Subtopic 2.2:
Field survey design and GPS-enabled assessments
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Subtopic 2.3:
Integrating drone, satellite, and on-ground data
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Subtopic 2.4:
Using mobile applications for damage and needs assessments
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Subtopic 2.5:
Ensuring data quality, accuracy, and timeliness
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Subtopic 3.1:
Creating crisis maps with QGIS, ArcGIS, and web-mapping tools
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Subtopic 3.2:
Mapping flood zones, conflict-affected areas, and displacement routes
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Subtopic 3.3:
Spatial overlay of population, hazard, and infrastructure data
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Subtopic 3.4:
Identifying priority zones for intervention
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Subtopic 3.5:
Producing interactive dashboards for operational teams
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Subtopic 4.1:
Harnessing social media platforms during crises
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Subtopic 4.2:
Mapping verified inputs from the public and response agencies
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Subtopic 4.3:
Filtering, validating, and geolocating crowdsourced data
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Subtopic 4.4:
Tools for social listening and alert systems
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Subtopic 4.5:
Addressing misinformation and digital ethics
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Subtopic 5.1:
Applying AI and machine learning to forecast crisis progression
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Subtopic 5.2:
Trend analysis and predictive hotspot mapping
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Subtopic 5.3:
Early warning models for epidemic spread, displacement, and conflict
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Subtopic 5.4:
Integrating weather, health, and supply chain data
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Subtopic 5.5:
Tools for anticipatory action and early response planning
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Subtopic 6.1:
Developing situational reports and live maps
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Subtopic 6.2:
Crisis dashboards for decision-makers and stakeholders
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Subtopic 6.3:
Visual storytelling for advocacy and donor reporting
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Subtopic 6.4:
Sharing maps securely across platforms and teams
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Subtopic 6.5:
Communication protocols during high-pressure operations
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Subtopic 7.1:
Building crisis mapping units within institutions
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Subtopic 7.2:
Capacity-building and system integration approaches
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Subtopic 7.3:
Ensuring data privacy, security, and responsible use
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Subtopic 7.4:
Partnerships with open-source communities and global platforms
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Subtopic 7.5:
Evaluating impact and improving mapping strategies over time
