Integration of SAR-derived river inundation areas, high-precision topographic data and a river flow model toward near real-time flood management

International Journal of Applied Earth Observation and Geoinformation

Volumn 9, Issue 3, 2007, Pages 247-263

  Matgen, P ^a   Schumann, G ^a,b   Henry, J B ^c   Hoffmann, L ^a   Pfister, L ^a  

^a Public Research Centre Gabriel Lippmann   (Luxembourg)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

^c Service Régional de Traitement d'Image et de Télé détection   (France)

Author keywords

GIS; Lidar; Remote sensing; River inundation; Synthetic aperture radar

Indexed keywords

DATA SET; DIGITAL ELEVATION MODEL; FLOOD; FLOODPLAIN; FLOW MODELING; GIS; IMAGE PROCESSING; LIDAR; RADAR IMAGERY; REAL TIME; RIVER FLOW; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR;

EID: 34249846330     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2006.03.003     Document Type: Article

References (41)

1. Alsdorf D.E. Interferometric SAR observations of water level changes: potential targets for future repeat-pass AIRSAR missions. Proceedings of the AIRSAR Earth Science and Application Workshop (2002), JPL, NASA, Pasadena, California
2. Alsdorf D.E., Smith L.C., and Melack J.M. Amazon floodplain water level changes measured with interferometric SIR-C radar. IEEE Trans. Geosci. Remote Sens. 39 2 (2001) 423-431
3. Aubert D., Loumagne C., and Oudin L. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model. J. Hydrol. 280 1-4 (2003) 145-161
4. Badji M., and Dautrebande S. Characterization of flood inundated areas and delineation of poor drainage soil using ERS-1 SAR imagery. Hydrol. Process. 11 10 (1997) 1441-1450
5. Barber D.G., Hochheim K.P., Dixon R., Mosscrop D.R., and McMullan M.J. The role of earth observation technologies for flood mapping: a Manitoba case study. Can. J. Remote Sens. 22 1 (1997) 137-143
6. Barkau R. UNET one-dimensional unsteady flow through a full network of open channels, User's Manual, US Army Corps of Engineers (1997), Hydrologic Engineering Center, Davis, California
7. Bates P.D. Remote sensing and flood inundation modelling. Hydrol. Process. 18 13 (2004) 2593-2597
8. Bates P.D., and De Roo A.P. A simple raster-based model for flood inundation simulation. J. Hydrol. 236 1/2 (2000) 54-77
9. Bates P.D., Horritt M.S., Smith C.N., and Mason D.C. Integrating remote sensing observations of flood hydrology and hydraulic modelling. Hydrol.Process. 11 14 (1997) 1777-1795
10. Brackenridge G.R., Tracy B.T., and Knox J.C. Orbital SAR remote sensing of a river flood wave. Int. J. Remote Sens. 19 7 (1998) 1439-1445
11. 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 3 (2002) 429-441
12. Calabresi G. The use of ERS data for flood monitoring: an overall assessment. Proceedings of the Second ERS Applications Workshop. London, UK (1995) ESA SP-383
13. Coppin P., Jonckheere I., Nackaerts K., Muys B., and Lambin E. Digital change detection methods in ecosystem monitoring: a review. Int. J. Remote Sens. 25 9 (2004) 1565-1596
14. De Roo A., Van der Knijff J., Horritt M.S., Schmuck G., and De Jong S. Assessing flood damages of the 1997 Oder flood and the 1995 Meuse flood. Proceedings of the Second International Symposium on Operationalisation of Remote Sensing (1999), Enschede, The Netherlands
15. Drogue G., Pfister L., Leviandier T., El Idrissi A., Iffly J.F., Matgen P., Humbert J., and Hoffmann L. Simulating the spatio-temporal variability of streamflow response to climate change scenarios in a mesoscale basin. J. Hydrol. 293 1-4 (2004) 255-269
16. European Space Agency, (2004). EnviSat ASAR Product Handbook, Issue 1.2, 1 September. (http://envisat.esa.int/dataproducts/asar/CNTR.htm).
17. Frost V.S., Stiles J.A., Shanmugan K.S., and Holtzman J.C. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Machine Intell. 4 2 (1982) 157-166
18. Gonzalez R.C., Woods R.E., and Eddins S.L. Digital Image Processing using Matlab (2004), Prentice Hall, New Jersey
19. Henry J.B., Matgen P., Tholey N., Pfister L., Hoffmann L., and De Fraipont P. Vers une intégration des techniques spatiales pour la gestion des inondations. Bulletin de la Société Française de Photogrammétrie et de Télédétection 172 (2003) 99-106
20. Henry J.B., Chastanet P., Fellah K., and Desnos Y.L. ENVISAT multi-polarised ASAR data for flood mapping. Int. J. Remote Sens. 27 10 (2006) 1921-1929
21. Horritt M.S. A statistical active contour model for SAR image segmentation. Image Vis. Comput. 17 3/4 (1999) 213-224
22. Horritt M.S. Calibration of a two-dimensional finite element flood flow model using satellite radar imagery. Water Resour. Res. 36 11 (2000) 3279-3291
23. Horritt M.S., Mason D.C., and Luckman A.J. Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int. J. Remote Sens. 22 13 (2001) 2489-2507
24. Liu Y., Nishiyama S., and Yano T. Analysis of four change detection algorithms in bi-temporal space with a case study. Int. J. Remote Sens. 25 11 (2004) 2121-2139
25. Lu D., Mausel P., Brondizio E., and Moran E. Change detection techniques. Int. J. Remote Sens. 25 12 (2004) 2365-2407
26. Luckman A.J., Frey A.C., Yanasse C.C.F., and Groom G.B. Texture in airborne SAR imagery of tropical forest and its relationship to forest regeneration stage. Int. J. Remote Sens. 18 6 (1997) 1333-1349
27. Matgen P., Henry J.B., Pappenberger F., De Fraipont P., Hoffmann L., and Pfister L. Uncer-tainty in calibrating flood propagation models with flood boundaries observed from synthetic aperture radar imagery. Proceedings of the 20th Congress of the International Society of Photogrammetry and Remote Sensing. Istanbul, Turkey (2004) 352-358
28. Matgen P., El Idrissi A., Henry J.B., Tholey N., Hoffmann L., De Fraipont P., and Pfister L. Patterns of remotely sensed floodplain saturation and its use in runoff predictions. Hydrol. Process. 20 8 (2006) 1805-1825
29. Oberstadler R., Hönsch H., and Huth D. Assessment of the mapping capabilities of ERS-1 SAR data for flood mapping: a case study in Germany. Hydrol. Process. 11 10 (1997) 1415-1425
30. Pappenberger F., Matgen P., Beven K., Henry J.B., Pfister L., and De Fraipont P. Influence of uncertain boundary conditions and model structure on flood inundation predictions. Adv. Water Resour. 29 (2006) 1430-1449
31. Pauwels V.R.N., Hoeben R., Verhoest N.E.C., and De Troch F.P. The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation. J. Hydrol. 251 1/2 (2001) 88-102
32. Raclot D. Télédétection des niveaux d'eau en plaine inondée: Démarche d'analyse spatiale guidée par le fonctionnement hydraulique. Bulletin de la Société Française de Photogrammétrie et de Télédétection 172 (2003) 87-98
33. Romanowicz R., and Beven K.J. Estimation of flood inundation probabilities as conditioned on event inundation maps. Water Resour. Res. 39 3 (2003) 1073
34. Schmugge T.J., Kustas W.P., Ritchie J.C., Jackson T.J., and Rango A. Remote sensing in hydrology. Adv. Water Resour. 25 8-12 (2002) 1367-1385
35. Smith L.C. Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrol. Process. 11 10 (1997) 1427-1439
36. U.S. Army Corps Engineers, HEC-RAS, http://www.hec.usace.army.mil.
37. Van Leeuwen H., Martin T., Haque I., and Hassan A. Flood monitoring study in the Jamuna and AMP Ganges floodplain in Bangladesh using ERS-1. Proceedings of the Third ERS Symposium. Florence, Italy (1997)
38. Werner M.G.F., Blazkova S., and Petr J. Spatially distributed observations in constraining inundation modelling uncertainties. Hydrol. Process. 19 16 (2005) 3081-3096
39. Williams D.J., and Shah M. A fast algorithm for active contours and curvature estimation. CVGIP: Image Understand. 55 (1992) 14-26
40. Xiao J., Jing L., and Moody A. A detail-preserving and flexible adaptive filter for speckle suppression in SAR imagery. Int. J. Remote Sens. 24 12 (2003) 2451-2465
41. Zribi M., and Dechambre M. A new empirical model to retrieve soil moisture and roughness from C-band radar data. Remote Sens. Environ. 84 1 (2003) 42-52