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Water level prediction from social media images with a multi-task ranking approach
2020
ISPRS journal of photogrammetry and remote sensing (Print)
A B S T R A C T Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and conduct (real-time) flood mitigation and flood rescue operations. Arguably, images collected from social media can provide useful information for that task, which would otherwise be unavailable. We introduce a computer vision system that estimates water depth from social media images taken during
doi:10.1016/j.isprsjprs.2020.07.003
fatcat:sqypdksyobdxhcajk2szglby4i