This study evaluates how attention mechanisms and explainable AI (XAI) techniques can improve the reliability and interpretability of deep learning models for post-disaster building damage assessment using satellite imagery.
International Journal of Disaster Risk Reduction (Elsevier)
This entry explains the concept, methodology, and importance of post-disaster damage and needs assessment (PDNA) in supporting effective recovery, reconstruction, and disaster risk reduction.
Designed to walk ADB staff through a Post-Disaster Needs Assessment simulation, this handbook outlines training schedules, introduces methodologies, and provides practical exercises to identify and analyze the broad impacts of a disaster.
In partnership the Community Outcomes and Recovery Sub-committee, Queensland Reconstruction Authority and the National Emergency Management Agency developed the National Disaster Recovery Needs Assessment Guidelines.
The guidelines are a set of documents for assessing the effects and impacts of disasters, as well as providing a methodology for planning for the disaster recovery.