Characteristics of the flood dataset.(a) Comparison with traditional CD images (b) The sample number of the flood dataset within the overall xBD dataset. Osaka, Japan - Researchers at The University ...

Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research might change that.

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods using satellite imagery. This research establishes the first systematic ...

The city is exploring how AI technology can support disaster response and recovery. A pilot has demonstrated a way to reduce ...

HOUSTON, Texas (KTRK) -- Hurricane season is one month away. It starts June 1, and forecasters have predicted above-average activity. The Texas A&M AgriLife Extension Service Disaster Assessment and ...

Swannanoa residents walk through devastating flood damage from the Swannanoa River on Sept. 29, 2024. The remnants of Hurricane Helene caused widespread flooding, downed trees, and power outages in ...

TOKYO >> More than 20,000 communities in Japan could be cut off from the rest of the country by a major disaster, according to research by The Yomiuri Shimbun. After the 2024 Noto Peninsula earthquake ...