• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于海岸工程项目的远程监测方法。

A remote monitoring approach for coastal engineering projects.

作者信息

Cabezas-Rabadán C, Pardo-Pascual J E, Palomar-Vázquez J, Cooper A

机构信息

Geo-Environmental Cartography and Remote Sensing Group (CGAT), Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camí de Vera S/N, València, Spain.

CNRS, University of Bordeaux, Bordeaux INP, EPOC, UMR 5805, 33600, Pessac, France.

出版信息

Sci Rep. 2025 Jan 23;15(1):2955. doi: 10.1038/s41598-025-86485-y.

DOI:10.1038/s41598-025-86485-y
PMID:39848974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11757736/
Abstract

High costs and project-based (short-term) financing mean that coastal engineering projects are often undertaken in the absence of appropriate post-construction monitoring programmes. Consequently, the performance of shoreline-stabilizing structures or beach nourishments cannot be properly quantified. Given the high value of beaches and the increase in erosion problems and coastal engineering responses, managers require as much accurate data as possible to support efficient decision-making. This work presents a methodological approach to characterise coastline position changes as a result of engineering actions. We describe a new, low-cost method based on satellite remote sensing to monitor shoreline evolution at high temporal and spatial resolution pre-, during and post-implementation. Initially, satellite-derived waterlines are identified and extracted from publicly available satellite imagery of the Landsat 5, 7, 8, and 9, and Sentinel-2 constellations using the automatic shoreline extraction tool SHOREX. The waterline positions are then compiled, differences over time are quantified, and a matrix is constructed that allows easy depiction and interpretation of spatial and temporal patterns of erosion/accretion. This allows the access and the comprehension of the morphological data by the non-expert. Two examples of application on the Valencian coast of Spain at different spatial scales demonstrate how beach response to coastal engineering actions can be characterised at different levels of detail (from local to regional) and over different periods of time. These applications evidence the utility of the approach as it allows analysis of pre- and post-intervention coastal change and offers a means to overcome the widespread lack of monitoring and hence to improve coastal engineering practice.

摘要

高昂的成本和基于项目的(短期)融资意味着沿海工程项目往往在缺乏适当的施工后监测计划的情况下进行。因此,海岸线稳定结构或海滩养护的性能无法得到恰当量化。鉴于海滩的高价值以及侵蚀问题和沿海工程应对措施的增加,管理者需要尽可能多的准确数据来支持高效决策。这项工作提出了一种方法,用于描述因工程行动导致的海岸线位置变化。我们描述了一种基于卫星遥感的新的低成本方法,用于在实施前、实施期间和实施后以高时间和空间分辨率监测海岸线演变。首先,使用自动海岸线提取工具SHOREX从陆地卫星5、7、8和9以及哨兵2星座的公开可用卫星图像中识别并提取卫星衍生的水线。然后汇编水线位置,量化随时间的差异,并构建一个矩阵,以便轻松描绘和解释侵蚀/淤积的时空模式。这使得非专业人员也能够获取和理解形态学数据。在西班牙瓦伦西亚海岸不同空间尺度上的两个应用示例展示了如何在不同细节水平(从局部到区域)和不同时间段内描述海滩对沿海工程行动的响应。这些应用证明了该方法的实用性,因为它允许分析干预前后的海岸变化,并提供了一种手段来克服普遍存在的监测不足问题,从而改进沿海工程实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/331ac4957bcc/41598_2025_86485_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/c5564d373ea7/41598_2025_86485_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/51eabbfe3e83/41598_2025_86485_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/137ec6c1e49c/41598_2025_86485_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/ab5254d1e503/41598_2025_86485_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/cd33d791a32e/41598_2025_86485_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/d90a565ad9c3/41598_2025_86485_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/bd6e6745767e/41598_2025_86485_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/7e4501a15a7d/41598_2025_86485_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/7c15872f2962/41598_2025_86485_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/276ec56791f9/41598_2025_86485_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/2868de5c7cf9/41598_2025_86485_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/331ac4957bcc/41598_2025_86485_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/c5564d373ea7/41598_2025_86485_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/51eabbfe3e83/41598_2025_86485_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/137ec6c1e49c/41598_2025_86485_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/ab5254d1e503/41598_2025_86485_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/cd33d791a32e/41598_2025_86485_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/d90a565ad9c3/41598_2025_86485_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/bd6e6745767e/41598_2025_86485_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/7e4501a15a7d/41598_2025_86485_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/7c15872f2962/41598_2025_86485_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/276ec56791f9/41598_2025_86485_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/2868de5c7cf9/41598_2025_86485_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/991f/11757736/331ac4957bcc/41598_2025_86485_Fig12_HTML.jpg

相似文献

1
A remote monitoring approach for coastal engineering projects.一种用于海岸工程项目的远程监测方法。
Sci Rep. 2025 Jan 23;15(1):2955. doi: 10.1038/s41598-025-86485-y.
2
Characterizing beach changes using high-frequency Sentinel-2 derived shorelines on the Valencian coast (Spanish Mediterranean).利用哨兵2号卫星获取的高频海岸线数据描绘巴伦西亚海岸(西班牙地中海地区)的海滩变化情况。
Sci Total Environ. 2019 Nov 15;691:216-231. doi: 10.1016/j.scitotenv.2019.07.084. Epub 2019 Jul 7.
3
A quantitative analysis of multi-decadal shoreline changes along the East Coast of South Korea.韩国东海岸数十年来的海岸线变化定量分析。
Sci Total Environ. 2023 Jun 10;876:162756. doi: 10.1016/j.scitotenv.2023.162756. Epub 2023 Mar 13.
4
Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany.利用多传感器卫星图像分析德国东弗里西亚群岛朗格奥格岛的海岸动力学。
Sci Rep. 2025 Mar 2;15(1):7372. doi: 10.1038/s41598-025-91306-3.
5
Combining remote sensing analysis with machine learning to evaluate short-term coastal evolution trend in the shoreline of Venice.结合遥感分析和机器学习评估威尼斯海岸线短期的海岸演变趋势。
Sci Total Environ. 2023 Feb 10;859(Pt 1):160293. doi: 10.1016/j.scitotenv.2022.160293. Epub 2022 Nov 17.
6
Quantitative assessment of present and the future potential threat of coastal erosion along the Odisha coast using geospatial tools and statistical techniques.利用地理空间工具和统计技术定量评估奥里萨邦沿海地区当前和未来的海岸侵蚀潜在威胁。
Sci Total Environ. 2023 Jun 1;875:162488. doi: 10.1016/j.scitotenv.2023.162488. Epub 2023 Feb 28.
7
Deciphering the impact of anthropogenic coastal infrastructure on shoreline dynamicity along Gopalpur coast of Odisha (India): An integrated assessment with geospatial and field-based approaches.解读人为沿海基础设施对印度奥里萨邦戈帕尔布尔海岸海岸线动态的影响:基于地理空间和实地的综合评估。
Sci Total Environ. 2023 Feb 1;858(Pt 1):159625. doi: 10.1016/j.scitotenv.2022.159625. Epub 2022 Oct 22.
8
Numerical evaluation of the impact of sandbars on cross-shore sediment transport and shoreline evolution.沙坝对横向输沙和岸线演变影响的数值评估。
J Environ Manage. 2024 Nov;370:122835. doi: 10.1016/j.jenvman.2024.122835. Epub 2024 Oct 11.
9
Coastal dynamism in Southern Thailand: An application of the CoastSat toolkit.泰国南部的海岸动力:CoastSat 工具包的应用。
PLoS One. 2022 Aug 24;17(8):e0272977. doi: 10.1371/journal.pone.0272977. eCollection 2022.
10
Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments.波浪驱动的沿岸和近岸输运揭示了岛屿环境中海岸线变化更为极端的预测情况。
Sci Rep. 2025 Mar 28;15(1):10794. doi: 10.1038/s41598-025-95074-y.

本文引用的文献

1
Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe.欧洲大西洋沿岸基于卫星的沙质海岸线趋势及年际变化
Sci Rep. 2024 Jun 6;14(1):13002. doi: 10.1038/s41598-024-63849-4.
2
Global Revisit Interval Analysis of Landsat-8 -9 and Sentinel-2A -2B Data for Terrestrial Monitoring.全球陆地监测的 Landsat-8-9 和 Sentinel-2A-2B 数据的重访时间间隔分析。
Sensors (Basel). 2020 Nov 19;20(22):6631. doi: 10.3390/s20226631.
3
Characterizing beach changes using high-frequency Sentinel-2 derived shorelines on the Valencian coast (Spanish Mediterranean).
利用哨兵2号卫星获取的高频海岸线数据描绘巴伦西亚海岸(西班牙地中海地区)的海滩变化情况。
Sci Total Environ. 2019 Nov 15;691:216-231. doi: 10.1016/j.scitotenv.2019.07.084. Epub 2019 Jul 7.
4
Evaluation of coastal management: Study case in the province of Alicante, Spain.沿海管理评估:以西班牙阿利坎特省为例的研究
Sci Total Environ. 2016 Dec 1;572:1184-1194. doi: 10.1016/j.scitotenv.2016.08.032. Epub 2016 Aug 11.
5
Sea-level rise and its impact on coastal zones.海平面上升及其对海岸带的影响。
Science. 2010 Jun 18;328(5985):1517-20. doi: 10.1126/science.1185782.