{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T03:37:04Z","timestamp":1792381024378,"version":"4.4.0"},"reference-count":21,"publisher":"Copernicus GmbH","issue":"5","license":[{"start":{"date-parts":[[2009,5,11]],"date-time":"2009-05-11T00:00:00Z","timestamp":1242000000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Hydrol. Earth Syst. Sci."],"abstract":"<jats:p>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 m 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 m 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.<\/jats:p>","DOI":"10.5194\/hess-13-567-2009","type":"journal-article","created":{"date-parts":[[2010,4,29]],"date-time":"2010-04-29T10:55:16Z","timestamp":1272538516000},"page":"567-576","source":"Crossref","is-referenced-by-count":79,"title":["Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data"],"prefix":"10.5194","volume":"13","author":[{"given":"H.","family":"Zwenzner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Voigt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3145","published-online":{"date-parts":[[2009,5,11]]},"reference":[{"key":"ref1","unstructured":"Baatz, M. and Sch\u00e4pe, A.: Multiresolution Segmentation\u2013an optimization approach for high quality multi-scale image segmentation, Angewandte Geographische Informationsverarbeitung XII. 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D.: Improving River Flood Extent Delineation From Synthetic Aperture Radar Using Airborne Laser Altimetry, IEEE T. Geosci. Remote, 45, 3932\u20133943, 2007.","DOI":"10.1109\/TGRS.2007.901032"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Matgen, P., Schumann, G., Henry, J. B., Hoffmann, L., and Pfister, L.: Integration of SAR derived river inundation areas, high-precision topographic data and a river flow model toward near real-time flood management, Int. J. Appl. Earth Obs., 9, 247\u2013263, 2007.","DOI":"10.1016\/j.jag.2006.03.003"},{"key":"ref12","unstructured":"Meinel, G., Schumacher, U., and Hennersdorf, J.: GIS-Technical Evaluation of the Flood Disaster in Summer 2002 with respect to the City of Dresden on the Basis of Remote Sensing, Laser Scanner and Measurement Data, ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIV, 104\u2013111, 2003."},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Pappenberger, F., Frodsham, K., Beven, K., Romanowicz, R., and Matgen, P.: Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations, Hydrol. Earth Syst. Sci., 11, 739\u2013752, 2007.","DOI":"10.5194\/hess-11-739-2007"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Sanders, B. F.: Evaluation of on-line DEMs for flood inundation modeling, Adv. Water Resour., 30, 1831\u20131843, 2007.","DOI":"10.1016\/j.advwatres.2007.02.005"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Sanyal, J. and Lu, X. X.: Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review, Nat. Hazards, 33, 283\u2013301, 2004.","DOI":"10.1023\/B:NHAZ.0000037035.65105.95"},{"key":"ref16","unstructured":"Schneiderhan, T., Huber, M., Zwenzner, H., and Hoffmann, J.: Use of ENVISAT ASAR and ERS SAR data for flood rapid mapping, ENVISAT Symposium, Montreux, Swiss, 2007."},{"key":"ref17","unstructured":"Schumann, G., Black, A., Cutler, M., Henry, J.-B., Hoffmann, L., Matgen, P., and Pfister, L.: Hydraulic and event knowledge to reduce the positional uncertainty in SAR flood images for improved flood model calibration and development, 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences., Lisbon, Portugal, 633\u2013642, 2006."},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Schumann, G., Hostache, R., Puech, C., Hoffmann, L., Matgen, P., Pappenberger, F., and Pfister, L.: High-Resolution 3-D Flood Information From Radar Imagery for Flood Hazard Management, IEEE T. Geosci. 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