Tidal data-aided SAR image-based coastline extraction for islands

doi:10.13474/j.cnki.11-2246.2026.0122

Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (1): 140-143.doi: 10.13474/j.cnki.11-2246.2026.0122

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Tidal data-aided SAR image-based coastline extraction for islands

LIU Liansheng^1,2, LI Jingjing^3,4,5, LU Jiangtao^3,4,5, LIAO Jielin⁶, WANG Changwei^3,4,5, YUE Wen^1,2

1. Guangdong Provincial Institute of Land Surveying & Planning, Guangzhou 510075, China;
2. Key Laboratory of Earth Surface System and Human-Earth Relationships of the Ministry of Natural Resources, Guangzhou 510075, China;
3. College of Natural Resources and Environment South China Agricultural University, Guangzhou 510642, China;
4. Guangdong Province Key Laboratory for Agricultural Resources Utilization, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China;
5. Guangdong Engineering Technology Research Center of Land Information, Guangzhou 510642, China;
6. Shanxi Develop Technology Co., Ltd., Taiyuan 030600, China

Received:2025-05-12 Published:2026-02-03

Abstract

Abstract: The coastline of an island serves as the baseline for analyzing the mechanisms of island evolution.Accurately extracting island coastlines has become a critical challenge urgently needing to be addressed in island research.This study focuses on Nan'ao Island as the research area.By spatio-temporally matching hourly tidal station water level observation data with Sentinel-1A synthetic aperture radar (SAR) satellite overpass times,four SAR images captured during high-tide periods from September 2023 to August 2024 were selected.An active contour model (Chan-Vese,CV model) was employed to extract instantaneous waterlines under different high-tide conditions,and a mean coastline was generated using the Euclidean distance metric method.Comparative analysis between this mean coastline and the latest government-approved coastline data of Guangdong province (2022) revealed an extraction accuracy of 16.28 m.The research demonstrates that the SAR image-based island coastline extraction method assisted by tidal information can effectively mitigate errors caused by traditional single-period image tidal corrections.This approach provides a novel solution for coastline extraction and dynamic monitoring in cloudy and rainy island environments,offering significant application value for enhancing refined island management capabilities.

Key words: island coastlines, SAR images, tidal information, extracting

CLC Number:

P237

LIU Liansheng, LI Jingjing, LU Jiangtao, LIAO Jielin, WANG Changwei, YUE Wen. Tidal data-aided SAR image-based coastline extraction for islands[J]. Bulletin of Surveying and Mapping, 2026, 0(1): 140-143.

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Tidal data-aided SAR image-based coastline extraction for islands

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