Effect of noises removal and spatial resolutions of Digital Surface Model (DSM) in flood inundation model
A. Yunika (Universitas Atma Jaya Yogyakarta, TU Delft - Hydraulic Structures and Flood Risk)
Matthijs Kok (TU Delft - Hydraulic Structures and Flood Risk)
J.G. de Gijt (TU Delft - Hydraulic Structures and Flood Risk)
J. Huizinga (HKV Lijn in Water)
S. Ginting (Ministry of Public Works and Housing)
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Abstract
Digital Elevation Model (DEM) is an important component in flood inundation modelling as a part of flood risk analysis. However, Digital Surface Model (DSM) which still contains noises of artefacts is more common to be available than DEM. Then DSM misleads the inundation extent. This study will evaluate a measure to obtain a bare-earth surface (DEM) by developing and applying a workflow to remove the noises from DSM using simple tools available in the GIS computer software. The output of the method will then be used as input for flood inundation modelling of Semarang City in Indonesia. In addition to the main data set of TerraSAR-X DSM provided by Indonesia Geospatial Information Agency (Badan Informasi Geospasial or BIG), two sets of open source digital elevation data from Shuttle Radar Topography Mission (SRTM) and Advanced Spaceborne Thermal Emission (ASTER) are included in this study. The three data sets are processed and quantitatively compared. The results show that the applied noise removal method must be traded off with the lower resolution. Hence, the level of detail of particular flood inundation modelling will determine the required DEM resolution. Different study purposes will lead to different appropriate DEM resolutions to be used.
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