3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.AP2022
Prediction of spatial distribution of debris-flow hit probability considering the source-location uncertainty
Kazuki Yamanoi, Satoru Oishi, Kenji Kawaike
Prediction of the extent and probability of debris flow under rainfall conditions can contribute to precautionary activities through risk quantification. To this end, quantifying t…
cs.CV2020★ 3 cited
Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping
Naoto Yokoya, Kazuki Yamanoi, Wei He +4
We propose a framework that estimates inundation depth (maximum water level) and debris-flow-induced topographic deformation from remote sensing imagery by integrating deep learnin…