Course Outline:

Module 1: Introduction to GIS, Remote Sensing, and Multi-Hazard Early Warning Systems

• Overview of MHEWS frameworks (UNDRR, WMO)

• Basics of GIS and Remote Sensing in disaster management

• Types of hazards and multi-hazard risk concepts

• Tools: QGIS, Google Earth Engine, Sentinel Hub
  Case Study: Implementation of multi-hazard early warning systems in the Philippines

Module 2: Flood and Drought Hazard Mapping Using Remote Sensing

• Remote sensing for flood monitoring (Sentinel-1 SAR, Landsat)

• Drought detection using NDVI and rainfall data

• DEM use in flood risk modeling

• Time-series analysis for drought trends
  Real-Life Project: Flood and drought risk mapping in East Africa using MODIS and Sentinel data

Module 3: Landslides and Wildfires: Risk Modeling and Detection

• Slope analysis and terrain modeling using DEMs

• Landslide susceptibility mapping with AHP and rainfall data

• Wildfire risk indices (NDWI, NBR) and hotspot detection using MODIS
  Case Study: GIS-based landslide and fire hazard assessment in Indonesia

Module 4: Vulnerability, Exposure, and Risk Integration

• Social, economic, and infrastructure vulnerability mapping

• Combining hazard, exposure, and vulnerability layers to assess risk

• Using census, building footprints, and land use data in QGIS
  Real-Life Project: Creating a risk map for an urban flood-prone zone with multi-layer spatial data

Module 5: Real-Time Data Integration, Early Warning, and Communication Tools

• Integrating sensor and weather data into GIS platforms

• Use of dashboards (ArcGIS Online, Power BI, KoboToolbox)

• Designing alert zones and early warning communication workflows

• Visualization techniques for decision-makers and the public
  Case Study: Developing an early warning dashboard for flood-prone districts in West Africa