Shoreline shifting and its prediction using remote sensing and GIS techniques: a case study of Sagar Island, West Bengal (India)

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• 作者：Santanu Nandi ; Mili Ghosh ; Arnab Kundu ; Dipanwita Dutta…
• 关键词：Shoreline change rate ; Shoreline prediction ; Tasseled cap ; End point rate ; Linear regression model ; Sagar Island ; India
• 刊名：Journal of Coastal Conservation
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：20
• 期：1
• 页码：61-80
• 全文大小：5,031 KB
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• 作者单位：Santanu Nandi (1)
  Mili Ghosh (2)
  Arnab Kundu (3)
  Dipanwita Dutta (4)
  Moumita Baksi (5)
  
  1. IL & FS Environmental Infrastructure and Services Limited, Gurgaon, Haryana, India
  2. Department of Remote Sensing, Birla Institute of Technology, Jharkhand, India
  3. Centre of Atmosphere, Ocean and Space Studies, Institute of Interdisciplinary Studies, University of Allahabad, Uttar Pradesh, India
  4. Department of Remote Sensing and GIS, Vidyasagar University, West Bengal, India
  5. I Service India Pvt. Ltd., Noida, Uttar Pradesh, India
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Nature Conservation
  
• 出版者：Springer Netherlands
• ISSN：1874-7841

文摘

The shoreline position is difficult to predict but the trend of erosion or accretion can be determined by geospatial and statistical techniques which may help in reducing the loss of property. The study aims to assess the shoreline changes and prediction in Sagar Island, a delta of the Ganges, situated in West Bengal, India. Shorelines have been delineated by using Tasseled Cap Transformation techniques from the Landsat MSS (1975), Landsat TM (1989, 1991) and Landsat ETM+ (1999, 2002, 2005, 2008, and 2011) images. The uncertainty was calculated for every year for assessing the positional error related to shoreline extraction. Total shoreline change rate/year has also been calculated and the uncertainty of total shoreline change rate was found ±3.20 m/year. In the present study, End Point Rate (EPR) and Linear Regression (LR) methods have been used for shoreline change rate calculation and prediction of shoreline. Long term (1975–2002) and short term (2002–2011) erosion and accretion rates were calculated for the study area. Sagar is the biggest island of the Sundarban region; so, it was divided into three segments in order to analyze the change on a segment basis. It was observed that the most of erosion occurred in the Segment B (south Sagar). The rate of erosion was −7.91 and −7.01 m/year for the periods 1975–2002 and 2002–2011 respectively. The mean shoreline change rate was high in Segment B (South Sagar) with values of −6.46 m/year (1975–2002) but the rate was decreased into −5.25 m/year during the later period (2002–2011). The study reveals that most of the southern part of Sagar Island is vulnerable to high rate of shoreline erosion.