Geospatial Intelligence and AI for Humanitarian Crises and Disaster Displacement Mapping Training Course

Introduction

Strengthen global humanitarian response capabilities with the Geospatial Intelligence and AI for Humanitarian Crises and Disaster Displacement Mapping Training Course. In the face of escalating natural disasters, armed conflicts, and forced migrations, timely and data-driven decision-making is essential. This course empowers participants to harness the power of geospatial data and artificial intelligence to support rapid response, relief planning, and displacement tracking.

Participants will gain hands-on experience in mapping refugee movements, assessing damage using AI-powered satellite analysis, and generating actionable insights for humanitarian logistics. The course also covers ethical considerations and frameworks to ensure responsible data use in crisis zones.

Target Audience

• Humanitarian Relief Coordinators and Emergency Responders
• Disaster Risk Management Officers
• GIS and Remote Sensing Specialists in Humanitarian Agencies
• Conflict and Migration Analysts
• UN and NGO Field Staff
• Human Rights Monitors and Crisis Reporters
• Data Scientists and Technologists in Humanitarian Innovation

Duration

10 Days

Course Objectives

1. Understand the role of geospatial intelligence in humanitarian crises
2. Apply AI to analyze satellite imagery for damage and displacement
3. Map refugee camps, shelters, and movement patterns
4. Integrate GIS data with humanitarian early warning systems
5. Use drones and UAVs for rapid crisis mapping
6. Develop dashboards for real-time humanitarian decision-making
7. Address ethical and privacy concerns in crisis data use
8. Build geospatial solutions for resilient and inclusive response

Course Content

Module 1: Fundamentals of Geospatial Intelligence in Humanitarian Contexts

• Overview of geospatial intelligence (GEOINT)
• Types of humanitarian crises and data needs
• Remote sensing and GIS workflows for crisis mapping
• The role of spatial data in emergency coordination
• Real-world examples of GEOINT in humanitarian settings

Module 2: AI and Satellite Imagery for Damage Assessment

• Accessing high-resolution crisis imagery (Maxar, Sentinel)
• AI models for building collapse and damage detection
• Pre/post disaster image comparison techniques
• Urban vs rural damage classification
• Automating crisis impact mapping with AI tools

Module 3: Mapping Population Displacement and Refugee Movements

• Tracking mass movements using remote sensing
• IDP camp delineation and resource mapping
• Crowdsource data integration (UNHCR, IOM)
• Heatmaps for displaced population densities
• Conflict zone and border monitoring

Module 4: UAV Applications in Humanitarian Response

• Drone deployment strategies for crisis zones
• Flight planning and imagery acquisition
• Generating orthomosaics and DEMs
• Assessing infrastructure damage and access routes
• Data sharing protocols in volatile environments

Module 5: GIS for Emergency Logistics and Planning

• Route optimization for aid delivery
• GIS-based resource allocation and shelter planning
• Spatial analysis of hazard-prone zones
• Overlaying weather and terrain data for mobility planning
• Coordination with OSM, HDX, and ReliefWeb datasets

Module 6: Real-Time Dashboards and Decision Support Tools

• Designing humanitarian GIS dashboards
• Integrating satellite, UAV, and ground data
• Alert systems and situational awareness tools
• Custom indicators for humanitarian operations
• Case studies in humanitarian tech solutions

Module 7: Data Ethics, Security, and Responsible AI in Crisis Mapping

• Consent and privacy in humanitarian geospatial data
• Bias in AI models for vulnerable populations
• Data sharing and protection guidelines
• Inclusion and accountability in humanitarian tech
• Policy frameworks and international standards

Module 8: Capstone Project on Humanitarian Mapping and Innovation

• Define a real or simulated humanitarian scenario
• Apply learned tools to map and analyze displacement
• Generate spatial outputs to inform humanitarian actors
• Present crisis-response strategy using geospatial insights

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank