Back close

Time-Series Analysis of Temporal Variations in Near Shore Bathymetry

Publication Type : Conference Paper

Publisher : Springer Nature Singapore

Source : Lecture Notes in Networks and Systems

Url : https://doi.org/10.1007/978-981-95-3978-9_14

Campus : Coimbatore

School : School of Computing

Year : 2026

Abstract : 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.

Cite this Research Publication : B. A. Sabarish, K. Raghesh Krishnan, S. Padmavathi, B. Samyukth, Harika Kanakam, Sri Bhuvana Pathaneni, M. Shailesh, Sivaiah Borra, Vijay Pottapinjara, Time-Series Analysis of Temporal Variations in Near Shore Bathymetry, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2026, https://doi.org/10.1007/978-981-95-3978-9_14

Admissions Apply Now