Abstract
Extended coverage digital elevation models (DEMs) including topographic and bathymetric area at moderate resolution are needed for regional-scale hazard modelling. Shuttle Radar Topography Mission (SRTM) provides important intermediate-scale information between coarse resolution data sets of wide area and high-resolution data sets of limited area. Although there are many anthropogenic structures that cause errors in the height of SRTM data, the measurement error is given as a single value for the entire area. The filter residuals in an adaptive multi-scale fusion algorithm were used to evaluate the landscape-dependent accuracy of SRTM elevations over the Florida coastal urban area. With accuracy and employing a stochastic framework to optimally fuse National Geophysical Data Center (NGDC) data, SRTM data and high-resolution light detection and ranging data, single seamless fused DEMs at multiple scales were derived for the coastal area and improved DEM quality at 30 m scale for coastal flood prediction was demonstrated.
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