Digital Elevation Model (DEM) is the most fundamental input to flood inundation modeling. Satellite based topographic data, such as SRTM (Shuttle Radar Topographic Mission) DEM, has made a significant contribution to inundation modeling and other hydrological studies, particularly in data scarce countries. Nevertheless, most of DEM products suffer from artefacts caused by data acquisition or processing. For example, the SRTM DEM suffers from striping artefacts that can cause significant errors in inundation simulations. This study developed Fourier Transform based de-striping techniques to identify and mitigate the striping artefacts. The de-stripped DEM is compared with a reference DEM and the result proved promising. We also attempted to understand the effect of striping artefacts on flood inundation modeling in the Mekong Delta. When the de-striped DEM was integrated in flood inundation modeling, significant improvement was observed in simulated spatial flood extent.
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