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Abstract

Summary

Coastline monitoring is a crucial area of environmental, geological, and information research, requiring advanced data processing and analysis techniques. This study explores an innovative approach to monitoring coastal dynamics by combining Sentinel-2 satellite imagery with the TPXO10-atlas-v2 global tide model. Open Data Cube (ODC) was used for efficient processing of Big geospatial data and the pyTMD software for tidal predictions. Sentinel-2’s sun-synchronous satellites capture only a portion of the full tidal range, highlighting the importance of using tidal models to reduce observational biases. By analyzing scenes with varying tidal dynamics, from microtidal to mesotidal tidal ranges, the research showcases the approach adaptability across different coastal hydrographic regimes. By leveraging insights into tidal heights measured at their minimum and maximum levels over an 8-year period (2017–2024), this study underscores the profound impact of tidal fluctuations on shoreline mapping. This approach provides a robust solution with flexibility for monitoring coastline variability. These findings will be useful for erosion management, infrastructure planning, and climate change impact studies.

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/content/papers/10.3997/2214-4609.2025510176
2025-04-14
2026-02-14
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