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

Hydrology and Earth System Sciences

Volumn 13, Issue 5, 2009, Pages 567-576

  Zwenzner, H ^a   Voigt, S ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SET; DIGITAL ELEVATION MODEL; ECONOMIC IMPACT; FLOOD DAMAGE; HAZARD ASSESSMENT; IKONOS; LIDAR; MAPPING; PIXEL; REMOTE SENSING; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR;

ELBE RIVER; SEVERN RIVER [UNITED KINGDOM]; UNITED KINGDOM;

EID: 71549128235     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-13-567-2009     Document Type: Article

References (21)

1. Baatz, M. and Schäpe, A.: Multiresolution Segmentation-an optimization approach for high quality multi-scale image segmentation, Angewandte Geographische Information sverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg, 200, 12-23, 2000.
2. Bates, P. D., Wilson, M. D., Horritt, M. S., Mason, D. C., Holden, N., and Currie, A.: Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: Data analysis and modeling, J. Hydrol., 328, 306-318, 2006.
3. Blaschke, T., Lang, S., Lorup, E., Strobl, J., and Zeil, P.: Objectoriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications, in: Environmental Information for Planning, Politics and the Pub- lic, edited by: Cremers, A. and Greve, K.: Metropolis Verlag, Marburg, Germany, 2, 555-570, 2000.
4. Bonn, F. and Dixon, R.: Monitoring Flood Extent and Forecasting Excess Runoff Risk with RADARSAT-1 Data, Nat. Hazards, 35, 377-393, 2005.
5. Brivio, P. A., Colombo, R., Maggi, M., and Tomasoni, R.: Integration of remote sensing data and GIS for accurate mapping of flooded areas, Int. J. Remote Sens., 23, 429-441, 2002.
6. Fowler, R. A.: LIDAR for Flood Mapping, Earth Observation Magazine, 9, 2002, http://www.eomonline.com/Common/Archives/ July00/robert.htm, access: 25 August, 2008.
7. Horritt, M. S., Mason, D. C., Cobby, D. M., Davenport, I. J., and Bates, P. D.: Waterline mapping in flooded vegetation from airborne SAR imagery, Remote Sens. Environ., 85, 271-281, 2003.
8. Krieger, G., Fiedler, H., Hajnsek, I., Eineder, M., Werner, M., and Moreira, A.: TanDEM-X: mission concept and performance analysis, IEEE International Geoscience and Remote Sensing Symposium Proceedings, 2005 (IGARSS '05), 25-29 July 2005, Seoul, South Korea, 4890-4893, 2005.
9. Ling, F., Xiao, F., Du, Y., 5 Xue, H. P., and Ren, X. Y.: Waterline mapping at the subpixel scale from remote sensing imagery with high-resolution digital elevation models, Int. J. Remote Sens., 29, 1809-1815, 2008.
10. Mason, D. C., Horrit, M. S., Dall'Amico, J. T., Scott, T. R., and Bates, P. D.: Improving River Flood Extent Delineation From Synthetic Aperture Radar Using Airborne Laser Altimetry, IEEE T. Geosci. Remote, 45, 3932-3943, 2007.
11. Matgen, P., Schumann, G., Henry, J. B., Hoffmann, L., and Pfister, L.: Integration of SAR derived river inundation areas, highprecision topographic data and a river flow model toward near real-time flood management, Int. J. Appl. Earth Obs., 9, 247-263, 2007.
12. 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, 104-111, 2003.
13. 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, 739-752, 2007, http://www.hydrol-earth-syst-sci.net/11/739/2007/.
14. Sanders, B. F.: Evaluation of on-line DEMs for flood inundation modeling, Adv. Water Resour., 30, 1831-1843, 2007.
15. Sanyal, J. and Lu, X. X.: Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review, Nat. Hazards, 33, 283-301, 2004.
16. 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.
17. 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, 633-642, 2006.
18. 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. Remote, 45, 1715-1725, 2007.
19. Sheng, Y. and Xia, Z.-G.: A comprehensive evaluation of filters for radar speckle suppression, in: Remote Sensing for a Sustainable Future, International Geoscience and Remote Sensing Symposium (IGARSS), Lincoln, Nebraska, USA, 1559-1561, 1996.
20. Thieken, A. H.,Müller, M., Kreibich, H., and Merz, B.: Flood damage and influenceing factors: New insights from the August 2002 flood in Germany, Water Resour. Res., 41, 1-16, 2005.
21. Wang, Y.: Seasonal change in the extent of inundation on floodplains detected by JERS-1 Synthetic Aperture Radar data, Int. J. Remote Sens., 25, 2497-2508, 2004.