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Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data

Zwenzner, Hendrik and Voigt, Stefan (2009) Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data. Hydrology and Earth System Sciences, 13, pp. 567-576. Copernicus Publications. DOI: 10.5194/hess-13-567-2009 ISSN 1027-5606

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Official URL: http://www.hydrol-earth-syst-sci.net/13/567/2009/

Abstract

Severe flood events turned out to be the most devastating catastrophes for Europe’s population, economy and environment during the past decades. The total loss caused by the August 2002 flood is estimated to be 10 billion Euros for Germany alone. Due to their capability to present a synoptic view of the spatial extent of floods, remote sensing technology, and especially synthetic aperture radar (SAR) systems, have been successfully applied for flood mapping and monitoring applications. However, the quality and accuracy of the flood masks and derived flood parameters always depends on the scale and the geometric precision of the original data as well as on the classification accuracy of the derived data products. The incorporation of auxiliary information such as elevation data can help to improve the plausibility and reliability of the derived flood masks as well as higher level products. This paper presents methods to improve the matching of flood masks with very high resolution digital elevation models as derived from LiDAR measurements for example. In the following, a cross section approach is presented that allows the dynamic fitting of the position of flood mask profiles according to the underlying terrain information from the DEM. This approach is tested in two study areas, using different input data sets. The first test area is part of the Elbe River (Germany) where flood masks derived from Radarsat-1 and IKONOS during the 2002 flood are used in combination with a LiDAR DEM of 1 metre spatial resolution. The other test data set is located on the River Severn (UK) and flood masks derived from the TerraSAR-X satellite and aerial photos acquired during the 2007 flood are used in combination with a LiDAR DEM of 2 metre pixel spacing. By means of these two examples the performance of the matching technique and the scaling effects are analysed and discussed. Furthermore, the systematic flood mapping capability of the different imaging systems are examined. It could be shown that the combination of high resolution SAR data and LiDAR DEM allows the derivation of higher level flood parameters such as flood depth estimates, as presented for the Severn area. Finally, the potential and the constraints of the approach are evaluated and discussed.

Item URL in elib:https://elib.dlr.de/57027/
Document Type:Article
Title:Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Zwenzner, HendrikdlrUNSPECIFIED
Voigt, StefandlrUNSPECIFIED
Date:11 May 2009
Journal or Publication Title:Hydrology and Earth System Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.5194/hess-13-567-2009
Page Range:pp. 567-576
Editors:
EditorsEmail
Savenije, Hubert H.G.UNSPECIFIED
Carrera, JesusUNSPECIFIED
Sivapalan, MurugesuUNSPECIFIED
Publisher:Copernicus Publications
Series Name:Hydrology and Earth System Sciences (HESS)
ISSN:1027-5606
Status:Published
Keywords:Flood mask, LiDAR DEM, Inundation depth
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W - no assignment
DLR - Research area:Space
DLR - Program:W - no assignment
DLR - Research theme (Project):W - no assignment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Zwenzner, Hendrik
Deposited On:12 Jan 2009
Last Modified:08 Mar 2018 18:30

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