WATER BODIES EXTRACTION OF JHARKHAND USING RS AND GIS
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Abstract
Surveying of water-bodies and delineating its features is vital for any planning, especially for India, where the land-cover is dominated by water-bodies. Extraction of water bodies using spatial inputs has been the most important method in the investigation of water resources, flood hazard prediction assessment and water planning with better effectiveness. A methodology for water extraction mapping using an integrated GIS and RS approach is presented, where in an endeavour has been made to put forward an automatic approach to extract the water bodies from satellite imagery. In this study, various methods were used for water body extraction like as Supervised Classification, Unsupervised Classification, Normalized Difference Water Index (NDWI), and Water Bodies Extraction Index (WBEI). WBEI it is a newly developed index used mainly for water body extraction. Landsat satellite data was used as inputs to the methodology. In this research water bodies were identified and corresponding thematic data layers were created. These data layers represent the hydrological conditions of the study area. The result obtained from different methodology was compared with each other. Part of the Jharkhand state was selected as the study area to evaluate and analyze which water extraction method is most effective and quick for water bodies’ identification. On the basis of visual interpretation of different methodology results, WBEI methodology showed good result and exact area of water body as has been depicted in the paper.
References
References:
H. Xu., 2006. “Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery,” International Journal of Remote Sensing, vol. 27, no. 14, pp. 3025–3033.
K. McFEETERS., 1996. The Use of Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features. International Journal of Remote Sensing, 17 (7): ISSN: 1425-1432.
Lillesand, T.M., and Kiefer, R.W., 2000. Remote Sensing and Digital Image Interpretation, Wiley, New York, 724 p.
Paul Shane Frazier., and Kenneth John Page., 2000. Water Body Detection and Delineation with Landsat TM Data. Photogrammetric Engineering& Remote Sensing.
Richards, J. A., 1999. Remote Sensing and Digital Image Analysis: An Introduction, 2nd ed. Springer, Berlin, Heidelberg, 363 p.
Smith, L.C., 1997. Satellite remote sensing of river inundation area, stage, and discharge: A review, Hydrological Processes, 11:1427-1439.
Tholey, N., S. Clandillon., and P. De Fraipont., 1997. The contribution of spaceborne SAR and optical data in monitoring flood events: Examples in northern and southern France, Hydrological Processes, 11:1409-1413.
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