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.
Highlights
Despite its long time existence and various measures to tackle it, flood is still intensively discussed these days
Digital Surface Model (DSM) which still contains noises of artefacts is more common to be available than Digital Elevation Model (DEM)
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
Summary
Despite its long time existence and various measures to tackle it, flood is still intensively discussed these days. A number of basic 1-dimentional (1D) data required to be available are the schematic system consists of the rivers and canals network and cross sections at minimum two locations per reach (i.e. one upstream and one downstream points), boundary condition at the upstream and downstream points, e.g. discharges or water levels in either constant values or function of time. In addition to those data, supplementary data might be involved, for example, hydraulics structures and their necessary parameters.
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