Training Course on GIS for Disaster Recovery and Resilience - GIS Software

Module 1: Introduction to GIS in Disaster Recovery and Resilience

Theory:

Overview of disaster types: natural, technological, and human-made.

Role of GIS in disaster risk management, recovery, and resilience.

Key concepts: hazards, vulnerability, exposure, and capacity.

Hands-on: Explore disaster datasets and visualize hazard-prone areas.

Case Study: Mapping flood-prone zones and disaster impact areas.

Module 2: Data Acquisition and Management

Theory:

Sources of spatial and disaster-related data: satellite imagery, surveys, IoT sensors.

Data formats, projections, and database management for disaster analysis.

Data quality, validation, and preprocessing for GIS applications.

Hands-on: Import, clean, and organize disaster and vulnerability datasets.

Case Study: Integrating multi-source disaster data for risk assessment.

Module 3: Hazard and Vulnerability Mapping

Theory:

Identifying and mapping hazards: floods, earthquakes, landslides, storms.

Mapping population, infrastructure, and environmental vulnerabilities.

Overlay analysis to identify high-risk zones.

Hands-on: Generate hazard and vulnerability maps using GIS.

Case Study: Mapping earthquake risk and affected population clusters.

Module 4: Risk and Impact Assessment

Theory:

GIS-based methodologies for disaster risk assessment.

Quantifying exposure, vulnerability, and potential losses.

Prioritizing areas for intervention and recovery.

Hands-on: Perform risk and impact assessment using spatial analysis tools.

Case Study: Assessing flood risk impacts on urban infrastructure.

Module 5: Recovery Planning and Resilience Strategies

Theory:

Principles of disaster recovery planning.

GIS applications in resilience building and adaptation strategies.

Scenario analysis for recovery planning and infrastructure rehabilitation.

Hands-on: Develop GIS-based recovery and resilience plans.

Case Study: Planning resilient infrastructure in flood-affected regions.

Module 6: Emergency Response and Evacuation Planning

Theory:

GIS for emergency response, routing, and resource allocation.

Evacuation planning using spatial analysis.

Integration with real-time monitoring and early warning systems.

Hands-on: Map evacuation routes and emergency service coverage.

Case Study: Optimizing evacuation planning for hurricane-prone areas.

Module 7: Integration with Remote Sensing and IoT Data

Theory:

Using satellite imagery, drones, and IoT sensors for disaster monitoring.

Real-time data integration and analysis for situational awareness.

Remote sensing applications for post-disaster damage assessment.

Hands-on: Incorporate satellite and sensor data into disaster GIS workflows.

Case Study: Monitoring post-earthquake damage using remote sensing.

Module 8: Visualization, Dashboards, and ReportingTheory:

Creating interactive maps, dashboards, and reports for stakeholders.

Communicating disaster risks, recovery plans, and resilience strategies.

Storytelling with spatial data for policy and decision-making.

Hands-on: Develop a dashboard to monitor disaster impacts and recovery progress.

Case Study: Presenting risk maps and recovery plans to municipal authorities.

Module 9: Decision Support for Disaster Recovery

Theory:

Using GIS as a decision support tool for resource allocation and planning.

Scenario modeling and multi-criteria analysis for disaster recovery.

Collaboration and coordination among agencies using GIS.

Hands-on: Conduct multi-criteria analysis for prioritizing recovery interventions.

Case Study: Allocating relief resources after a major flood event.

Module 10: Capstone Project

Project Examples:

Comprehensive GIS-based disaster risk assessment and recovery plan for a city

Evacuation route planning and emergency service optimization using GIS.

Real-time disaster monitoring dashboard integrating remote sensing and IoT data.

Hands-on: Complete an end-to-end GIS workflow: hazard mapping → risk assessment → recovery planning → visualization → reporting.

Presentation: Showcase project outcomes, GIS-based recommendations, and resilience strategies.