Scholarlink

Understanding temporal variations in bathymetry is crucial for numerous coastal and marine applications, including navigation, sediment analysis, habitat mapping and rip current analysis. The study employs time-series analysis to investigate bathymetric changes over time along RK Beach, Visakhapatnam, India using satellite imagery and remote sensing data obtained from General Bathymetric Chart of the Oceans (GEBCO). The results are validated for near and far shore bathymetric data using in situ measurements of depth variations, with depth variations having a minimal RMSE of 2.01 m on average across multiple iterations.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Time-Series Analysis of Temporal Variations in Near Shore Bathymetry

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • B. A. Sabarish,
  • K. Raghesh Krishnan,
  • S. Padmavathi,
  • B. Samyukth,
  • Harika Kanakam,
  • Sri Bhuvana Pathaneni,
  • M. Shailesh,
  • Sivaiah Borra,
  • Vijay Pottapinjara

摘要

Understanding temporal variations in bathymetry is crucial for numerous coastal and marine applications, including navigation, sediment analysis, habitat mapping and rip current analysis. The study employs time-series analysis to investigate bathymetric changes over time along RK Beach, Visakhapatnam, India using satellite imagery and remote sensing data obtained from General Bathymetric Chart of the Oceans (GEBCO). The results are validated for near and far shore bathymetric data using in situ measurements of depth variations, with depth variations having a minimal RMSE of 2.01 m on average across multiple iterations.