Natural Disaster

Natural disaster research focuses on improving preparedness, response, and recovery efforts through data analysis and advanced modeling. Current research heavily utilizes machine learning, particularly deep learning architectures like U-Net, BERT, and transformers, to analyze diverse data sources including satellite imagery, social media posts, and weather data for tasks such as damage assessment, needs identification, and misinformation detection. These advancements aim to enhance situational awareness, optimize resource allocation, and ultimately mitigate the societal impacts of natural disasters, contributing significantly to disaster management and risk reduction strategies.