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 ...

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 ...

Information from several sources, including data from previous hazards, is needed to predict future events. This information can assist in the development of appropriate mitigation measures.

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 ...

BRYAN, Texas (KBTX) -With recovery efforts underway, the Texas A&M AgriLife Extension Service Disaster Assessment and Recovery, DAR, unit is ready to lend a helping hand. DAR agents help conduct ...