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Original Articles

An object-based approach for flood area delineation in a transboundary area using ENVISAT ASAR and LANDSAT TM data

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Pages 124-136 | Received 14 Apr 2011, Accepted 07 Nov 2011, Published online: 16 Dec 2011

References

  • Amini, J., 2010. A method for generating floodplain maps using ikonos images and dems. International Journal of Remote Sensing, 31 (10), 2441–2456.
  • Angelidis, P., Kotsikas, M., and Kotsovinos, N., 2009. Management of upstream dams and flood protection of the transboundary river Evros/Maritza. Water Resources Management, 24 (11), 1–18.
  • Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65 (1), 2–16.
  • Breiman, L., 1984. Classification and regression trees. Belmont, California: Wadsworth International Group.
  • Brisco, B., et al., 2008. Water resource applications with RADARSAT-2 – a preview. International Journal of Digital Earth, 1 (1), 130–147.
  • Brivio, P.A., et al., 2002. Integration of remote sensing data and GIS for accurate mapping of flooded areas. International Journal of Remote Sensing, 23 (3), 429–441.
  • Chavez, P.S. Jr 1996. Image-based atmospheric corrections – Revisited and improved. Photogrammetric Engineering and Remote Sensing, 62 (9), 1025–1036.
  • Chubey, M.S., Franklin, S.E., and Wulder, M.A., 2006. Object-based analysis of ikonos-2 imagery for extraction of forest inventory parameters. Photogrammetric Engineering and Remote Sensing, 72 (4), 383–394.
  • Coppin, P., et al., 2004. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25 (9), 1565–1596.
  • ESA, 2007. ASAR Product Handbook, issue 2.2 [online]. ESA Earthnet Online. Available from: http://envisat.esa.int/handbooks/asar/ [Accessed 5 December 2011].
  • Evans, T.L., et al., 2010. Using ALOS/PALSAR and RADARSAT-2 to Map Land Cover and seasonal inundation in the Brazilian Pantanal. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 3 (4), 560–575.
  • FLAPP, 2007. Flood awareness and prevention policy in border areas network. In: N. Morisson, ed. Final report. The Netherlands: INTERREG IIIC network FLAPP, p. 53.
  • Frazier, P.S. and Page, K.J., 2000. Water body detection and delineation with Landsat TM data. Photogrammetric Engineering and Remote Sensing, 66 (12), 1461–1467.
  • Gao, B.-c., 1996. NDWI–A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58 (3), 257–266.
  • Gao, Y., Mas, J.F., and Navarrete, A., 2009. The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data. International Journal of Digital Earth, 2 (3), 219–236.
  • Gianinetto, M., Villa, P., and Lechi, G., 2006. Postflood damage evaluation using Landsat TM and ETM+ data integrated with DEM. IEEE Transactions on Geoscience and Remote Sensing, 44 (1), 236–243.
  • Gillespie, T.W., et al., 2007. Assessment and prediction of natural hazards from satellite imagery. Progress in Physical Geography, 31 (5), 459–470.
  • Gitas, I.Z., et al., 2008. Contribution of remote sensing to disaster management activities: a case study of the large fires in the Peloponnese, Greece. International Journal of Remote Sensing, 29 (6), 1847–1853.
  • Goodchild, M.F. and Glennon, J.A., 2010. Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3 (3), 231–241.
  • Guo, H., 2010. Understanding global natural disasters and the role of earth observation. International Journal of Digital Earth, 3 (3), 221–230.
  • Guo, H.D., Liu, Z., and Zhu, L.W., 2010. Digital Earth: decadal experiences and some thoughts. International Journal of Digital Earth, 3 (1), 31–46.
  • Hay, G.J. and Blaschke, T., 2010. Special issue: geographic object-based image analysis (GEOBIA). Photogrammetric Engineering and Remote Sensing, 76 (2), 121–122.
  • Hay, G.J. and Castilla, G., 2008. Geographic object-based image analysis (GEOBIA): a new name for a new discipline. In: T. Blaschke, S. Lang, and G.J. Hay, eds. Object based image analysis. Springer Berlin Heidelberg, 75–89.
  • Henry, J.B., et al., 2006. Envisat multi-polarized ASAR data for flood mapping. International Journal of Remote Sensing, 27 (10), 1921–1929.
  • Jain, S.K., et al., 2005. Delineation of flood-prone areas using remote sensing techniques. Water Resources Management, 19 (4), 333–347.
  • Jensen, J.R., 2000. Remote sensing of the environment: an earth resource perspective. Upper Saddle River, N.J.: Prentice Hall.
  • Ji, L., Zhang, L., and Wylie, B., 2009. Analysis of dynamic thresholds for the normalized difference water index. Photogrammetric Engineering and Remote Sensing, 75 (11), 1307–1317.
  • Kalabokidis, K.D., et al., 2007. Multivariate analysis of landscape wildfire dynamics in a Mediterranean ecosystem of Greece. Area, 39 (3), 392–402.
  • Kanellopoulos, T.D., et al., 2008. The influence of the Evros River on the recent sedimentation of the inner shelf of the NE Aegean Sea. Environmental Geology, 53 (7), 1455–1464.
  • Kiage, L.M., et al., 2005. Applications of Radarsat-1 synthetic aperture radar imagery to assess hurricane-related flooding of coastal Louisiana. International Journal of Remote Sensing, 26 (24), 5359–5380.
  • Lacava, T., et al., 2010. Improving flood monitoring by the Robust AVHRR technique (RAT) approach: the case of the April 2000 Hungary flood. International Journal of Remote Sensing, 31 (8), 2043–2062.
  • Mallinis, G., et al., 2004. Forest parameters estimation in a European Mediterranean landscape using remotely sensed data. Forest Science, 50 (4), 450–460.
  • Mallinis, G., et al., 2008a. Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetry and Remote Sensing, 63 (2), 237–250.
  • Mallinis, G., et al., 2008b. Local-scale fuel-type mapping and fire behavior prediction by employing high-resolution satellite imagery. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1 (4), 230–239.
  • Mayer, R., et al., 2008. MONITOR: hazard monitoring for risk assessment and risk communication. Georisk, 2 (4), 193–220.
  • Puech, C. and Raclot, D., 2002. Using geographical information systems and aerial photographs to determine water levels during floods. Hydrological Processes, 16 (8), 1593–1602.
  • Sanyal, J. and Lu, X.X., 2004. Application of remote sensing in flood management with special reference to monsoon Asia: a review. Natural Hazards, 33 (2), 283–301.
  • Seppänen, H. and Virrantaus, K., 2010. The role of GI-supported methods in crisis management. International Journal of Digital Earth, 3 (4), 340–354.
  • Van Alphen, J., et al., 2009. Flood risk mapping in Europe, experiences and best practices. Journal of Flood Risk Management, 2 (4), 285–292.
  • Wang, Y., 2004. Using Landsat 7 TM data acquired days after a flood event to delineate the maximum flood extent on a coastal floodplain. International Journal of Remote Sensing, 25 (5), 959–974.
  • Wang, Y., Colby, J.D., and Mulcahy, K.A., 2002. An efficient method for mapping flood extent in a coastal floodplain using Landsat TM and DEM data. International Journal of Remote Sensing, 23 (18), 3681–3696.

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