潮间带地形重建方法综述：现状、挑战与趋势

doi:10.11947/j.AGCS.2026.20260037

测绘学报 ›› 2026, Vol. 55 ›› Issue (4): 571-587.doi: 10.11947/j.AGCS.2026.20260037

• 海岸带与海洋测绘遥感 •

潮间带地形重建方法综述：现状、挑战与趋势

李鹏¹^,²(), 张家涵¹, 汪志翰¹, 王厚杰¹^,², 李振洪³()

^1.中国海洋大学海洋地球科学学院河口海岸带研究所，山东　青岛　266100
^2.青岛海洋科技中心海洋地质过程与环境功能实验室，山东　青岛　266061
^3.长安大学地质工程与测绘学院，陕西　西安　710054

收稿日期:2026-01-26 修回日期:2026-03-17 发布日期:2026-05-11
通讯作者: 李振洪 E-mail:pengli@ouc.edu.cn;zhenhong.li@chd.edu.cn
作者简介:李鹏（1984—），男，博士，副教授，研究方向为海岸带地形与形变监测。　E-mail：pengli@ouc.edu.cn
基金资助:
陕西省影像大地测量共性技术研发平台(2024ZG-GXPT-07);山东省自然科学基金(ZR2024MD061);国家自然科学基金(42041005-4; 41806108)

A review of intertidal topography reconstruction methods: current status, challenges and trends

Peng LI¹^,²(), Jiahan ZHANG¹, Zhihan WANG¹, Houjie WANG¹^,², Zhenhong LI³()

^1.Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
^2.Laboratory of Marine Geology, Qingdao Marine Science and Technology Center, Qingdao 266061, China
^3.College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China

Received:2026-01-26 Revised:2026-03-17 Published:2026-05-11
Contact: Zhenhong LI E-mail:pengli@ouc.edu.cn;zhenhong.li@chd.edu.cn
About author:LI Peng (1984—), male, PhD, associate professor, majors in coastal topographic surveying and deformation monitoring. E-mail: pengli@ouc.edu.cn
Supported by:
Generic Technical Development Platform of Shaanxi Province for Imaging Geodesy(2024ZG-GXPT-07);Shandong Provincial Natural Science Foundation(ZR2024MD061);The National Natural Science Foundation of China(42041005-4; 41806108)

摘要/Abstract

摘要：

潮间带作为海陆过程耦合的核心界面，受周期性潮汐驱动，其地形演化呈现显著的时空复杂性。由于受植被干扰、滩涂通达性差及周期性淹没等客观条件限制，获取高精度、高分辨率的潮间带地形数据仍是海岸带监测的难点。本文系统综述了基于星-机-船-地多源平台的潮间带地形重建方法，分析了各技术在复杂环境下的研究进展，并剖析了现有DEM数据在空间覆盖、垂向精度、时效性及海陆基准统一等方面的局限。本文通过识别现有成果的技术瓶颈，旨在为构建高稳健性的潮间带地形重建方法提供参考，并探讨多源数据协同感知、数据-物理双驱动建模及动态数字孪生体系的发展趋势。

关键词: 潮间带, 地形重建, 多源遥感, 数据融合, 人工智能, 海岸带, 海平面上升

Abstract:

As the core interface for the coupling of terrestrial and marine processes, the intertidal zone exhibits significant spatiotemporal complexity in topographic evolution driven by periodic tidal cycles. Accurate acquisition of high-accuracy and high-resolution topographic data remains a critical challenge in coastal monitoring due to physical constraints such as vegetation interference, poor accessibility of tidal flats, and periodic submergence. This paper provides a systematic review of intertidal topographic reconstruction methods based on multi-source platforms, including satellite, airborne, shipborne, and ground-based systems, and analyzes research progress under complex environmental conditions. Furthermore, it examines the limitations of existing Digital Elevation Models (DEMs) regarding spatial coverage, vertical accuracy, temporal resolution, and the unification of land-sea vertical datums. By identifying technical bottlenecks in current achievements, this study aims to provide a reference for constructing robust topographic inversion models and discusses emerging trends in multi-source collaborative sensing, data-physics dual-driven modeling, and the development of dynamic digital twin systems.

Key words: intertidal zone, topographic reconstruction, multi-source remote sensing, data fusion, artificial intelligence, coastal zone, sea level rise

中图分类号:

P237

李鹏, 张家涵, 汪志翰, 王厚杰, 李振洪. 潮间带地形重建方法综述：现状、挑战与趋势[J]. 测绘学报, 2026, 55(4): 571-587.

Peng LI, Jiahan ZHANG, Zhihan WANG, Houjie WANG, Zhenhong LI. A review of intertidal topography reconstruction methods: current status, challenges and trends[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(4): 571-587.

图/表 4

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潮间带地形重建方法综述：现状、挑战与趋势

A review of intertidal topography reconstruction methods: current status, challenges and trends

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