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Conference Paper

Resolution enhancement of flood inundation grids

Authors

Bryant,  Seth
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Schumann,  Guy
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/hapel

Apel,  H.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/bmerz

Merz,  B.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kreib

Kreibich,  H.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Bryant, S., Schumann, G., Apel, H., Merz, B., Kreibich, H. (2023): Resolution enhancement of flood inundation grids, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0447


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015997
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.