The Disaster Loss and Damage Project, led by the Data Lab in collaboration with the FAO Statistics Division's Loss and Damage Team, addresses data scarcity in developing disaster risk reduction policies for agriculture. This project supports the establishment of national information systems for disaster management, focusing initially on Kenya and Viet Nam. 

To achieve these goals, the project aims to: 

1. Harness high-resolution satellite imagery and advanced data analytics, including deep learning, to assess risks and impacts on agricultural areas at granular levels. 
2. Utilize a structured and data-driven approach to assess crop and livestock losses due to disasters at the national level. By integrating national agricultural data with satellite imagery and geospatial data, the project focuses on evaluating the impacts of climate-related events like droughts and floods, ensuring detailed risk assessment for disaster preparedness. 
3. Develop a platform that records geo-coded agricultural hazards and generates national risk maps by integrating historical disaster data with detailed agricultural information, such as crop and livestock distributions.