关键词: Coastal management DSAS Geospatial analysis Long-to-short term change Sediment dynamics Shoreline change

Mesh : Environmental Monitoring / methods Anthropogenic Effects India

来  源:   DOI:10.1016/j.marpolbul.2024.116089

Abstract:
This investigation analyzed shoreline evolution along India\'s Digha Coast from 1992 to 2022, using multispectral Landsat satellite images and the Digital Shoreline Analysis System (DSAS). Methods included identifying zones and transects, shoreline extraction, and applying spatial statistical techniques. The study area, divided into five zones with 587 transects, enabled both short- and long-term analysis. Key findings indicate that the mean long-term rate of shoreline change is -0.54 m per year, with 70.70 % of transects experiencing erosion and 29.30 % accretion. Notably, Zone V had the highest accretion rate (8.55 m/year), while Zone III faced the most erosion (-7.47 m/year). Short-term analysis from 1997 to 2017 indicated significant erosion, contrasting with accretion during 1992-1997 and 2017-2022. Particularly, Zones II, III, and IV underwent major erosion, especially from 1997 to 2002. The study underscores the need for continuous shoreline management strategies and demonstrates geospatial technology\'s effectiveness in capturing coastal landscape changes.
摘要:
这项调查使用多光谱Landsat卫星图像和数字海岸线分析系统(DSAS)分析了1992年至2022年印度Digha海岸沿线的海岸线演变。方法包括识别区域和横断面,海岸线提取,并应用空间统计技术。研究区域,分为五个区域,有587个样带,启用了短期和长期分析。主要研究结果表明,海岸线平均长期变化率为-0.54m/年,70.70%的样带经历侵蚀和29.30%的增生。值得注意的是,V区的吸积率最高(8.55米/年),而III区面临的侵蚀最大(-7.47米/年)。1997年至2017年的短期分析表明,侵蚀显著,与1992-1997年和2017-2022年的增生形成鲜明对比。特别是,II区,III,IV经历了严重的侵蚀,特别是从1997年到2002年。该研究强调了持续的海岸线管理策略的必要性,并证明了地理空间技术在捕捉沿海景观变化方面的有效性。
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