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Abstract:
High-resolution flood inundation data is needed for more effective risk assessment. Producing these directly with hydrodynamic models is slow and computationally prohibitive at large scales; however, recent advancements in remote sensing, data storage, and terrain modelling have unlocked the potential for high-resolution inundation data. Here we demonstrate a new algorithm for post-processing coarse-resolution inundation layers by using high-resolution terrain models to disaggregate flood inundation layers. Accuracy is evaluated against a high-resolution hydrodynamic model of a recent flood, which shows a slight improvement over existing algorithms (hit rate=0.97, false alarms=0.02). More importantly, the proposed algorithm is more efficient, yielding run times 2-5 times faster than existing algorithms. The algorithm developed here can be applied in conjunction with hydrodynamic models (where a high-resolution DEM is available) to more efficiently produce high-resolution inundation maps without supervision.
