Flood mapping of danube river at romania using single and multi-date ERS2-SAR images

International Journal of Applied Earth Observation and Geoinformation

Volumn 18, Issue 1, 2012, Pages 69-81

  Gan, T Y ^a   Zunic, F ^b   Kuo, C C ^a   Strobl, T ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Dry land; ERS2 SAR images; Flooded area; Flooding of Danube River; PCA and Isodata classifications; Permanent water; Single image un supervised, contextual

Indexed keywords

COMPARATIVE STUDY; DIGITAL ELEVATION MODEL; ERROR CORRECTION; ERS-2; FLOOD; FLOODING; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; MAPPING; MODIS; PIXEL; PRINCIPAL COMPONENT ANALYSIS; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR;

DANUBE RIVER; ROMANIA;

EID: 84864517206     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.01.012     Document Type: Article

References (23)

1. Bates, P.D., 2004. Remote sensing and flood inundation modeling. Hydrol. Processes 18, 2593-2597.
2. Bates, P.D., De Roo, A.P.J., 2000. A simple raster based model for flood inundation simulation. J. Hydrol. 236, 54-77.
3. Belz, J.U., Goda, L., Buzis, Z., Domokos, M., Engel, H., Weber, J., 2004. Flow regime of River Danube and its catchment. The Danube and its catchment - a hydrological monograph, follow-up, vol. VIIIl2. Koblenz and Baja, 152 pp.
4. Bratrich, C., Moroz, S., 2006. 2006 Floods in the Danube River basin. Working Paper of WWF, Vienna.
5. Farr, T.G., et al., 2007. The shuttle radar topography mission. Rev. Geophys. 45, RG2004.
6. Gong, P., Howarth, P., 1992. Frequency-based contextual classification and graylevel vector reduction for land-use identification. Photogrammetr. Eng. Remote Sens. 58 (4), 423-437.
7. Hanssen, A.W., Kuipers, W.J.A., 1965. On the relationship between the frequency of rain and various meteorological parameters. Med. Verh 81, 2-15.
8. Hendrickx, J.M.H., Remke, L. van D., Borchers, B., Curtis, J., Lensen, H.A., Harmon, R., 2003. Worldwide distribution of soil dielectric and thermal properties. In: Proceedings of SPIE - The International Society for Optical Engineering (SPIE).
9. Hess, L.L., Melack, J.M., Solange, F., Wang, Y., 1995. Delineation of Inundated area and vegetation along the Amazon floodplain with the SIR-C Synthetic Aperture Radar. IEEE Trans. Geosci. Remote Sensing 33 (4), 896-905.
10. Horritt, M.S., 1999. A statistical active contour model for SAR image segmentation. Image Vision Comput. 17 (3-4), 213-224.
11. Horritt, M.S., 2006. A methodology for the validation of uncertain flood inundation models. J. Hydrol. 326, 153-165.
12. Huang, S.Q., Liu, D., Gao, G., Guo, X., 2009. A novel method for speckle noise reduction and ship target detection in SAR images. Pattern Recogn. 42, 1533-1542.
13. Jodouin, S., Bentabeta, L., Zioua, D., Vaillancourta, J., Armenakis, C., 2003. Spatial database updating using active contours for multispectral images: application with Landsat 7. ISPRS J. Photogrammetr. Remote Sensing 57, 346-355.
14. Nolin, A.W., Payne, M.C., 2007. Classification of glacier zones in western Greenland using albedo and surface roughness from the Multi-angle Imaging SpectroRadiometer (MISR). Remote Sensing Environ. 107, 264-275.
15. Prigent, C., Papa, F., Aires, F., Rossow, W.B., Matthews, E., 2007. Global inundation dynamics from multiple satellite observations, 1993-2000. J. Geophys. Res. 112, D12107.
16. Rodriguez, E., Morris, C.S., Belz, J.E., Chapin, E.C., Martin, J.M., Daffer, W., Hensley, S., 2005. An assessment of the SRTM topographic products. Technical Report JPL D-31639. Jet Propulsion Laboratory, Pasadena, California, 143 pp.
17. Schwarz, U., Bratrich, C., Hulea, O., Moroz, S., Pumputyte, N., Rast, G., Bern, M.R., Siposs, V., 2006. Floods 2006 in the DRB: Restoration of Floodplains. WWF, Vienna.
18. Seiler, R., Schmidt, J., Diallo, O., Csaplovics, E., 2009. Flood monitoring in a semi-arid environment using spatially high resolution radar and optical data. J. Environ. Manage. 90, 2121-2129.
19. Shi, Z., Fung, K.B., 1994. A comparison of digital speckle filters. In: Proceedings of IGRASS 94, August 8-12.
20. Solbø, S., Eltoft, T., 2008. A stationary wavelet-domain Wiener filter for correlated speckle. IEEE Trans. Geosci. Remote Sensing 46 (4).
21. Tou, J.T., Gonzalez, R.C., 1974. Pattern Recognition Principles. Addison-Wesley Publishing Co.
22. Wang, Y., Koopmans, B.N., Pohl, C., 1995. The 1995 flood in the Netherlands monitored from space - a multi-sensor approach. Int. J. Remote Sensing. 16 (15), 2735-2739.
23. Younis, J., Ramos, M.H., Thielen, J., 2008. EFAS forecasts for the March-April 2006 flood in the Czech part of the Elbe river basin - a case study. Atm. Sci. Lett. 9, 88-97.