International Development Grant
Global Fund for Disaster Reduction and Recovery - EO
Project Number: CA-3-P008678001
Status: Terminating
Country/Region: Unknown
Regional Focus:
Maximum Contribution: $2,000,000.00
Start Date: March 31, 2021
End Date: February 28, 2025
Duration: 3.9 years
Project Description
This project aims to fund Earth Observation (EO) technology and data collection for use by developing countries primarily coastal and Small Islands Developing States (SIDS) regional organizations and other partners to pursue climate change adaptation and resiliency to extreme weather events. By improving the availability of EO technology and data it is expected that the world’s poorest and most vulnerable regions will develop country-driven solutions to the varied local effects of climate change.
Expected Results
The expected outcomes of this project include: (1) increased literacy and use of tools and technologies associated with satellite EO; and (2) enhanced resilience of developing countries particularly SIDS to deal with natural disasters and extreme weather as a result of climate change.
Progress & Results Achieved
Results achieved as of January 2024 include: (1) established the groundwork for using Artificial Intelligence (AI) tools and aerial images in Dominica Grenada and Saint Lucia. These tools helped to extract building characteristics like size roof material and damage levels. By overlaying the AI-generated information with hazard maps such as flood inundation maps and storm surge risk maps Caribbean countries are able to will quickly and cost-efficiently identify structures highly vulnerable to natural hazards. In Dominica this information supported the government’s Climate Resilience and Recovery Plan which aims to make 90% of houses resilient enough to withstand disasters by 2030; (2) invested in street view imagery techniques with AI tools to collect building data. This includes equipping vehicles in Dominica with 360° cameras to capture street views and building façades across large parts of the island. They took 35 900 high-resolution photos over 290 km. This helped identify crucial data on 6 700 buildings out of the 32 500 in the country showing how vulnerable they are to natural disasters. They demonstrated the process to the Government of Saint Lucia which plans to use it for the entire island; and (3) delivered training to government staff of Caribbean countries on the fundamentals of earth observation and geospatial technologies.
Key Information
Executing Agency:
Global Fund for Disaster Risk Reduc
Reporting Organization:
Global Affairs Canada
Program:
YFMInternaAssistPartnershp&Programing Br
Last Modified:
September 19, 2025
Development Classifications
DAC Sector:
Aid Type: Contributions to specific-purpose programmes and funds managed by implementing partners
Collaboration: Bilateral
Finance Type: Aid grant excluding debt reorganisation
Selection Mechanism:
Department-Initiated