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S. I. Khan, Y. Hong, J. Wang, K. K. Yilmaz, J. J. Gourley, R. F. Adler, G. R. Brakenridge, F. Policelli, S. Habib and D. Irwin, “Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 1, 2011, pp. 85-95. doi:10.1109/TGRS.2010.2057513

has been cited by the following article:

• TITLE: Identification of Inundation Hazard Zones in Manas Basin, China, Using Hydrodynamic Modeling and Remote Sensing

  AUTHORS: Like Ning, Hailong Liu, Anming Bao

  KEYWORDS: Flood Inundation; Floodarea; Remote Sensing; Modified NDWI

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.5 No.4, April 25, 2013

  ABSTRACT: A two-dimensional hydrodynamic model, Floodarea was applied to simulate the flood inundation area and flood depth in Manas basin, China. Two scenes of Landsat TM images were also used in this research. One image was used to produce the spatial distributed manning roughness to feed the model, the other one was used to delineate the actual inundated area by a modified NDWI method. The model and the manning roughness were validated by the comparison of simulated flood inundation extent and the corresponding actual inundated area obtained from Landsat image. The results show that the actual inundation extent obtained from Landsat image was 240.45 km2, and the modeled inundation area was276.15 km2. It indicates that manning roughness ranging from 0.025 to 0.833 is appropriate in the basin. In addition, the modeled flood depth varied from 0 to7.77 m. Taking land use into account, five hazard zones were identified in the study area. This study would be beneficial to flood control and disaster reduction.