Flood risk remains one of the most urgent challenges facing Asia, with the region experiencing increasingly severe flooding events in recent years. Growing uncertainties due to climate change, coupled with limited data availability in many areas, have limited traditional approaches to flood risk modelling.
This research, led by GAIP Research Fellow Dr. Yanbin Xu from Nanyang Technological University (NTU), introduces an innovative Geo-Hierarchical Deep Learning (GHDL) framework. Specifically designed for data-scarce regions, the GHDL framework employs advanced deep learning techniques to offer a robust, alternative approach to flood risk modelling, particularly relevant for Southeast Asia, where data limitations are prevalent.
The report underscores GAIP's commitment to translating rigorous scientific research into practical, actionable insights. To further facilitate the adoption and practical application of this innovative method, an exclusive programming package is provided to our partners.
Explore this innovative modelling framework and collaborate with us to integrate this alternative approach into your flood risk modelling arsenal.
Author: Dr. Yanbin Xu
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