Abstract
Flood is an overflow of water that submerges land and the inflow of tide onto land. Floods usually cause large-scale loss of human life and wide spread damage to properties. In this study, integration of the satellite and GIS datasets are carried out to prepare the flood zonation mapping of Surat district, Gujarat, India. High resolution remote sensing images from Google-earth, IRS-1D, 1:50000 topographical maps are combined with hydraulic analysis and digital elevation model (DEM) to identify the flood susceptible area of the various zones divided as North, South, East, West, Central, South-East and South-West validated with the field surveys. The work is extended up to the Town Planning Scheme (TPS), to detect the most vulnerable areas in terms of submergence. Overall analysis indicates that more than 90–95 % of the area would be submerged if the flood of the same frequency happened over this flood plain in the near future. To mitigate the floods hazards, various remedial measures are suggested to lower the degree of danger owing to future flood events.
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