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<p>The shoreline is a dynamic area that meets the water and land. Erosion happens as waves, tides, and ocean currents continuously strike on land. Moreover, artificial activities such as building and boat movement can disrupt natural processes. In contrast, the&#xa0;deposition of sediment by rivers results in new land (accretion). Thus, understanding this complex relationship can help us to predict changes on coastlines and devise methods of preventing erosion without affecting human activities. This study aims to quantitatively analyzing erosion–deposition trends in the Kozhikode district of Kerala state using multi-temporal satellite data through the Digital Shoreline Analysis System (DSAS) for better future shoreline prediction management of coastal zoning. Six years of Landsat ETM + , OLI data were acquired for the period from 2000 to 2024 (2000, 2005, 2010, 2015, 2020, 2024). Shoreline change analysis was done using the&#xa0;DSAS plug-in in ArcMap software. Afterwards, the rate of shoreline change was determined using Net Shoreline Change (NSM), End Point Rate (EPR) and Liner Regression Rate (LRR) along the entire stretch of coastline of the Kozhikode district of Kerala. Over 25&#xa0;years, from 2000 to 2024, the coast eroded about 56.38%, while high to very high eroding covers about 14.5%, accretion covers approximately 35.9% of the coast, whereas stable coast accounts for around 7.72%. The Kalman filter model predicted future shoreline by linear regression method for 2034 which can assist with better future planning for the coastal zone.</p>

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Quantitative Analysis of Shoreline Change and Future Shoreline Prediction of Kozhikode District, Kerala, India Using Multi-Temporal Satellite Data

  • 期刊论文

  • 发表日期：

    2025年2月25日

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  • Sajay S S,
  • Debashis Mitra

摘要

The shoreline is a dynamic area that meets the water and land. Erosion happens as waves, tides, and ocean currents continuously strike on land. Moreover, artificial activities such as building and boat movement can disrupt natural processes. In contrast, the deposition of sediment by rivers results in new land (accretion). Thus, understanding this complex relationship can help us to predict changes on coastlines and devise methods of preventing erosion without affecting human activities. This study aims to quantitatively analyzing erosion–deposition trends in the Kozhikode district of Kerala state using multi-temporal satellite data through the Digital Shoreline Analysis System (DSAS) for better future shoreline prediction management of coastal zoning. Six years of Landsat ETM + , OLI data were acquired for the period from 2000 to 2024 (2000, 2005, 2010, 2015, 2020, 2024). Shoreline change analysis was done using the DSAS plug-in in ArcMap software. Afterwards, the rate of shoreline change was determined using Net Shoreline Change (NSM), End Point Rate (EPR) and Liner Regression Rate (LRR) along the entire stretch of coastline of the Kozhikode district of Kerala. Over 25 years, from 2000 to 2024, the coast eroded about 56.38%, while high to very high eroding covers about 14.5%, accretion covers approximately 35.9% of the coast, whereas stable coast accounts for around 7.72%. The Kalman filter model predicted future shoreline by linear regression method for 2034 which can assist with better future planning for the coastal zone.