Abstract
Sagar coastline is a major attraction site for tourist and also source of income for the local peoples. However shoreline has been changing due to erosion. The shoreline position is difficult to predict but the trend of erosion or accretion can be determinate by statistical techniques. The study aims to assess the shoreline changes and prediction in Sagar Island, a delta of Ganges, situated in West Bengal, India. This study sought to find the trend of shoreline changes and factors. Shoreline can be detected by using PCA and non-directional edge techniques from Landsat images. The shoreline mapping of Sagar Island during (1975–2015) using geospatial techniques. The present study focuses the shoreline change and in future prediction from satellite derived multi-temporal Landsat MSS, Landsat TM, Landsat ETM+, Landsat OLI data using GIS; it is used to determinate or to estimate the change rate of shoreline in Sagar Island by End Point Rate, and Linear Regression models.
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References
Pajak, M. J., & Leatherman, S. (2002). The high water line as shoreline indicator. Journal of Coastal Research, 18, 329–337.
Crowell, M., Leatherman, S. P., & Buckley, M. K. (1991). Historical shoreline change error analysis Chakraborty S (2013) Delineation of morpho-structural changes of some selected islands in the Ganga delta region, West Bengal, India—A spatio-temporal change detection analysis using GIS and remote sensing. International Journal of Science and Nature, 4, 499–507.
Nandi, S. (2013). Assessment of shoreline changes and its future prediction using geospatial techniques in deltaic Sundarban, West Bengal. M. Tech. thesis (unpublished), BIT, Mesra, Ranchi, India.
Mukherjee, S. (2001). Sundarbans biosphere reserve (in) workshop on Sundarbans Day, 3rd June 2001, organised by Sundarbans Biosphere Reserve and Zilla Parishad—24 Parganas (South) in collaboration with Department of Sundarbans Affairs, Zoological Survey of India, Botanical Survey of India and Calcutta Wildlife Society.
Manjunath, K. R., Tanumi, K., Kundu, N., & Panigrahy, S. (2013). Discrimination of mangrove species and mudflat classes using in situ hyperspectral data: A case study of Indian Sundarbans.
Maiti, S., & Bhattacharya, A. K. (2007). Shoreline change study using remote sensing and GIS techniques along midnapore coast, West Bengal, India. (Abstract volume: Curent trends in Remote Sensing and GIS application, IIT Kharagpur).
Prabaharan, S., Srinivasaraju, S., Lakshumanan, C., & Ramalingam, M. (2010). Remote sensing and GIS applications on change detection study in coastal zone using multi temporal satellite data. International Journal of Geomatics and Geosciences, 1(2), 160–161.
Nandi, S., Ghosh, M., Kundu, A., Dutta, D., & Baksi, M. (2015). Shoreline shifting and its prediction using remote sensing and GIS techniques: A case study of Sagar Island, West Bengal (India).
Maiti, S., & Bhattacharya, A. K. (2009). Shoreline change analysis and its application to prediction: A remote sensing and statistics based approach. Marine Geology, 257, 11–23.
Bandyopadhyay, J., Mondal, I., & Samanta, N. (2014). Shore line shifting of Namkhana Island of Indian Sundarban, South 24 Parganas, West Bengal, India, using remote sensing &GIS techniques. International Journal of Engineering Sciences & Research Technology (IJESRT), 3(5), 162–169. ISSN: 2277-9655.
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Mondal, I., Bandyopadhyay, J. & Dhara, S. Detecting shoreline changing trends using principle component analysis in Sagar Island, West Bengal, India. Spat. Inf. Res. 25, 67–73 (2017). https://doi.org/10.1007/s41324-016-0076-0
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DOI: https://doi.org/10.1007/s41324-016-0076-0