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Proceedings Paper

Quality of topographic data from interferometry SAR DEM for hydrological researches: The case study of the Lesse and the Dendre rivers, Belgium
Author(s): Michal Shimoni; Benoit Moermans; Bernard Hanquet; Sylvia Dautrebande
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Paper Abstract

For hydrology and terrestrial ecosystem studies, topography has a significant influence on the amount of intercepted solar radiation, the surface and sub-surface water movements, the type and distribution of vegetation and the microclimate. Processing Digital Elevation Model (DEM) data to extract hydrological features becomes a routine, but the numerous DEMs available stress the importance of their quality assessment. Radar interferometry (InSAR) technique is a promising approach to generate digital elevation models. The goal of this research is to verify to what extend the InSAR DEM can be used as a topographic database for deriving hydrological informations. This study was realised over the Dendre and the Lesse watersheds. Because DEM quality cannot be determined by a single criterion, the quality assessment should be application oriented. In this study, the NGI (National Geographic Institute of Belgium) DEM was chosen as a topographic reference for the quality assessment of the InSAR DEMs. The Root Mean Square (RMS) of the altitude difference between the NGI and the InSAR DEM was used as general quality measurement. The mean slope value has been calculated to characterise the relief of the basin. For both of the basins, watershed borders and hydrographic network were generated with GIS technique. The results obtained were compared between them and with digitised hydrographic network. Hydrographic network derived from InSAR DEM was not found accurate enough in flat wide valley. For the studied areas, the InSAR DEMs are precise enough for large-scale hydrological investigation where information like watershed border or relief is needed. However, InSAR DEMs is not suitable for hydraulic models, because they require extreme accuracy.

Paper Details

Date Published: 28 January 2002
PDF: 11 pages
Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); doi: 10.1117/12.454188
Show Author Affiliations
Michal Shimoni, Royal Military Academy (Belgium)
Benoit Moermans, Faculte Univ. des Sciences Agronomiques de Gembloux (Belgium)
Bernard Hanquet, Faculte Univ. des Sciences Agronomiques de Gembloux (Belgium)
Sylvia Dautrebande, Faculte Univ. des Sciences Agronomiques de Gembloux (Belgium)

Published in SPIE Proceedings Vol. 4542:
Remote Sensing for Agriculture, Ecosystems, and Hydrology III
Manfred Owe; Guido D'Urso, Editor(s)

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