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<p>The shoreline is a dynamic landform where land and water meet, influenced by natural and anthropogenic factors such as wave action, sediment deposition, and climate conditions, which cause erosion and accretion over time. The purpose of this study was to evaluate the trend of shoreline change along the Kutubdia Island and to assess the effect of shoreline change on land use classification. The study utilized multi-temporal satellite images from Landsat Multispectral Scanner (MSS),Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+), and Operational Land Imager (OLI) to analyze shoreline changes on Kutubdia Island over 48 years, employing tools like ArcGIS 10.8 and DSAS 5.1 for data processing. Shoreline change rates were calculated using methods including the Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), Endpoint Rate (EPR), and Linear Regression Rate (LRR). Land Use-Land Cover (LULC) classification was performed using Sentinel data, and the results were validated through Kappa statistics and confusion matrices to ensure accuracy. The results indicated that Kutubdia Island’s shoreline experienced maximum erosion rates of -458.92&#xa0;m (NSM) and accretion rates of 4060.93&#xa0;m, with an average shoreline movement of 234.76&#xa0;m. The Island’s total area decreased by 13.75%, from 80&#xa0;km² in 1972 to 69&#xa0;km² in 2020, while shoreline length reduced from 57.89&#xa0;km in 1972 to 48.31&#xa0;km in 2020. Additionally, LULC classification accuracy improved from 58.33% in 1972 to 91.67% in 2020, with a corresponding Kappa coefficient increase from 0.334 to 0.869. The findings of this investigation have substantial value for future planning and management of Kutubdia Island. </p>

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Analysis of the shoreline dynamics and land use-land cover changes on Kutubdia Island, Bangladesh

  • 期刊论文

  • 发表日期：

    2025年10月7日

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  • Mahima Ranjan Acharjee,
  • Subeda Newase,
  • Hrishika Barua,
  • Avijit Talukder

摘要

The shoreline is a dynamic landform where land and water meet, influenced by natural and anthropogenic factors such as wave action, sediment deposition, and climate conditions, which cause erosion and accretion over time. The purpose of this study was to evaluate the trend of shoreline change along the Kutubdia Island and to assess the effect of shoreline change on land use classification. The study utilized multi-temporal satellite images from Landsat Multispectral Scanner (MSS),Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+), and Operational Land Imager (OLI) to analyze shoreline changes on Kutubdia Island over 48 years, employing tools like ArcGIS 10.8 and DSAS 5.1 for data processing. Shoreline change rates were calculated using methods including the Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), Endpoint Rate (EPR), and Linear Regression Rate (LRR). Land Use-Land Cover (LULC) classification was performed using Sentinel data, and the results were validated through Kappa statistics and confusion matrices to ensure accuracy. The results indicated that Kutubdia Island’s shoreline experienced maximum erosion rates of -458.92 m (NSM) and accretion rates of 4060.93 m, with an average shoreline movement of 234.76 m. The Island’s total area decreased by 13.75%, from 80 km² in 1972 to 69 km² in 2020, while shoreline length reduced from 57.89 km in 1972 to 48.31 km in 2020. Additionally, LULC classification accuracy improved from 58.33% in 1972 to 91.67% in 2020, with a corresponding Kappa coefficient increase from 0.334 to 0.869. The findings of this investigation have substantial value for future planning and management of Kutubdia Island.