Abstract
Flood problems resulting due to heavy rainfall and drainage congestion are being regularly experienced in plain areas of Bihar, India. Due to this problem, power plant located in Koa catchment, Kahalgaon, Bihar, is faces huge loss at the time of flood. In this paper, the flood-affected areas in Koa catchment have been mapped using remote sensing satellite data (IRS LISS III, 1999 and Landsat TM, 1995). A range of image processing techniques has been used, including simple density slicing, Tasseled Cap Transformation and water-specific index. The results obtained using different approaches have been analysed. Result indicates that a Normalized Difference Water Index (NDWI) based approach produced best results.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Baumann, P., 1999, ‘Flood analysis: 1993 Mississippi Flood’, URL: http://www.research.umbc.edu/~tbenjal/baumann/mod2.html.
Bennett, M. W. A., 1987, ‘Rapid monitoring of wetland water status using density slicing’, in Proceedings of the 4th Australian Remote Sensing Conference, 14–18 September, Adelaide, pp. 682–691.
Crist, E. P. and Ciconel, R. C., 1984, ‘A physically based transformation of Thematic Mapper data—The TM Tasseled Cap’, IEEE Trans. Geosci. Remote Sens. GE-22, 256–263.
Frazier, P. and Page, K., 2000, ‘Water body detection and delineation with Landsat TM data’, Photogrametric Eng. Remote Sens. 66, 12.
McFeeters, S. K., 1996, ‘The use of Normalised Difference Water Index (NDWI) in the delineation of open water features’, Int. J. Remote Sens. 17(7), 1425–1432.
Mohapatra, P. K. and Singh, R. D., 2003, ‘Flood management in India’, Nat. Hazards 28, 131–143.
NHPC, 1995, Project Report on “Kahalgaon Super Thermal Power Project”, a Technical Report submitted to National Thermal Power Corporation (NTPC) by Naitonal Hydro Power Corporation (NHPC).
Kundu, B. S. and Mohi Kumar, K. E., 1995, ‘Mapping and management of flood affected areas through remote sensing. A case study of Sirsa district, Harayana’, J. Indian Soc. Remote Sens. 23(3).
Smith, L. C., 1997. ‘Satellite remote sensing of river inundation area, stage, and discharge: A review’, Hydrol. Process. 11, 1427–1439.
Wang, Y., Colby, J. D. and Mulcahy, K. A., 2002, ‘An efficient method for mapping flood extent in a coastal flood plain using Landsat TM and DEM data’, Int. J. Remote Sens. 23(18), 3681–3696.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jain, S.K., Singh, R.D., Jain, M.K. et al. Delineation of Flood-Prone Areas Using Remote Sensing Techniques. Water Resour Manage 19, 333–347 (2005). https://doi.org/10.1007/s11269-005-3281-5
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/s11269-005-3281-5