Topography data harmonisation and uncertainties applying SRTM, laser scanner and cartographic elevation models

D. Haase (1) , K. Frotscher (2)

1 UFZ - Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research
2 Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany]

Only a few studies have attempted to quantify topography-depending water fluxes, to evaluate retention and reservoir capacities and surface run-off paths within large river basins because data availability and data quality are critical issues to face this objective. It becomes most relevant if water balance has to be calculated in large or transboundary river basins.

The advance of space based earth observation data offers a solution to this information problem. Therefore, this paper mainly focuses on weaknesses and strengths analyzing topography with SRTM (Shuttle Radar Topography Mission) digital height data and thus provides techniques for their improved application in river network derivation, floodplain analysis, watershed hydrology in large as well as in large river basins (>1000 km²).

In the analysis different types of digital elevation models (DEM), terrain models (DTM) and land cover classification data (biotope map, Corine Land Cover 1994) have been used. The DHMs are generated from Airborne Laser Scanning (0.5 m), topographic maps (10.0/50.0 m) and SRTM at 30.0 m and 90.0 m spatial resolution. SRTM digital height models are generated by Synthetic Aperture Radar (SAR) and show a high spatial variance in urban areas, regions of dense vegetation canopy, floodplains and water bodies. As study area serve the Elbe basin (Czech Republic, Germany) with its sub-basins and the Saale river basin (Germany, different federal countries Saxony-Anhalt, Saxony and Thuringia).

Domaines: Sciences de la Terre

D. Haase, K. Frotscher. Topography data harmonisation and uncertainties applying SRTM, laser scanner and cartographic elevation models. Advances in Geosciences, 2005, 5, pp.65-73. ⟨hal-00296836⟩