JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

H (Human Geosciences ) » H-TT Technology & Techniques

[H-TT15] Geographic Information Systems and Cartography

Wed. May 27, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[HTT15-P11] Spatially Optimized Flood Susceptibility Mapping in Kolkata Integrating Machine Learning LUPI Framework and SCS-CN Runoff Model Approach

*Bateswar Das1, Hayakawa S. Yuichi2 (1. Graduate School of Environmental Science, Hokkaido Univ., Japan, 2. Faculty of Environmental Earth Science, Hokkaido Univ., Japan)

Keywords:Urban flood susceptibility, Spatial heterogeneity, Learning Using Privileged Information (LUPI), Machine learning, Disaster risk management