On the use of satellite information to detect coastal change: Demonstration case on the coast of Spain

IF 4.2 2区 工程技术 Q1 ENGINEERING, CIVIL
Paula Gomes da Silva , Martínez Sánchez Jara , Raúl Medina , Anne-Laure Beck , Mohamed Amine Taji
{"title":"On the use of satellite information to detect coastal change: Demonstration case on the coast of Spain","authors":"Paula Gomes da Silva ,&nbsp;Martínez Sánchez Jara ,&nbsp;Raúl Medina ,&nbsp;Anne-Laure Beck ,&nbsp;Mohamed Amine Taji","doi":"10.1016/j.coastaleng.2024.104517","DOIUrl":null,"url":null,"abstract":"<div><p>Recent developments in satellite processing tools allow low-cost, fast and automatic processing of a large amount of information from Earth observation, enhancing the capability of detecting coastal changes from space at different temporal scales. Some works have assessed the quality of these data and applied it to detect coastal evolution locally, most of them focusing on mid-term and long-term changes in the coastline. In this work, we evaluate the capability to monitor changes in coastal morphology at various temporal and spatial scales using 1D (coastlines) and 3D (bathymetry) satellite-derived data obtained from site-specific processing methods. Local characteristics were included in several phases of the development of the satellite products used here: i) geolocated very high resolution images from each pilot site were used in the coregistration process to enhance geolocation accuracy in images from different missions, ii) different spectral indices were tested at each pilot site to obtain more reliable detection of the coastline at all sites and iii) measured topobathymetry data were used to obtain datum-based satellite shorelines and bathymetry. The accuracy and skill of those satellite products were assessed at several pilot sites in Spain. The results indicated high horizontal accuracy (RMSE &lt; pixel size), with errors on the order of half of the pixel size (RMSE = 5.0 m and for Sentinel-2 and 18.8 m for Landsat5). Furthermore, the coastlines used here presented errors comparable to those obtained from the widely used open-source tool CoastSat. Time-series analysis using satellite-derived shorelines showed that coastal change processes can be detected at several temporal and spatial scales, such as short-term erosion and accretion events on a small beach, seasonal beach rotation, and long-term trends at local and regional scales. However, the results from satellite-derived bathymetry indicated that the quantitative assessment of the coastal morphology with 3D products is still limited. Some in situ measurements are necessary to obtain satellite data that represent site-specific conditions. However, the quantity of this auxiliary in situ measurements required to obtain reliable time series of satellite derived shorelines and bathymetry is significantly lower than the quantity required by traditional monitoring methods. The results are discussed, highlighting the gaps that need to be filled in the future so that satellite-derived products can be used in usual coastal change monitoring practices.</p></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"191 ","pages":"Article 104517"},"PeriodicalIF":4.2000,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Coastal Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378383924000656","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Recent developments in satellite processing tools allow low-cost, fast and automatic processing of a large amount of information from Earth observation, enhancing the capability of detecting coastal changes from space at different temporal scales. Some works have assessed the quality of these data and applied it to detect coastal evolution locally, most of them focusing on mid-term and long-term changes in the coastline. In this work, we evaluate the capability to monitor changes in coastal morphology at various temporal and spatial scales using 1D (coastlines) and 3D (bathymetry) satellite-derived data obtained from site-specific processing methods. Local characteristics were included in several phases of the development of the satellite products used here: i) geolocated very high resolution images from each pilot site were used in the coregistration process to enhance geolocation accuracy in images from different missions, ii) different spectral indices were tested at each pilot site to obtain more reliable detection of the coastline at all sites and iii) measured topobathymetry data were used to obtain datum-based satellite shorelines and bathymetry. The accuracy and skill of those satellite products were assessed at several pilot sites in Spain. The results indicated high horizontal accuracy (RMSE < pixel size), with errors on the order of half of the pixel size (RMSE = 5.0 m and for Sentinel-2 and 18.8 m for Landsat5). Furthermore, the coastlines used here presented errors comparable to those obtained from the widely used open-source tool CoastSat. Time-series analysis using satellite-derived shorelines showed that coastal change processes can be detected at several temporal and spatial scales, such as short-term erosion and accretion events on a small beach, seasonal beach rotation, and long-term trends at local and regional scales. However, the results from satellite-derived bathymetry indicated that the quantitative assessment of the coastal morphology with 3D products is still limited. Some in situ measurements are necessary to obtain satellite data that represent site-specific conditions. However, the quantity of this auxiliary in situ measurements required to obtain reliable time series of satellite derived shorelines and bathymetry is significantly lower than the quantity required by traditional monitoring methods. The results are discussed, highlighting the gaps that need to be filled in the future so that satellite-derived products can be used in usual coastal change monitoring practices.

利用卫星信息探测海岸变化:西班牙海岸示范案例
卫星处理工具的最新发展,可以低成本、快速和自动地处理来自地球观测的大量信 息,提高了从空间探测不同时间尺度沿岸变化的能力。一些研究对这些数据的质量进行了评估,并将其用于局部探测沿岸的演变,其中大 部分侧重于海岸线的中长期变化。在这项工作中,我们评估了利用通过特定地点处理方法获得的一维(海岸线)和三维 (水深测量)卫星数据在不同时空尺度上监测沿岸形态变化的能力。在开发所使用的卫星产品的几个阶段中,都考虑了当地的特点:i) 在核心定位过程中 使用了每个试验点的地理定位高分辨率图像,以提高不同飞行任务图像的地理定位精度;ii) 在每个试验点测试了不同的光谱指数,以便对所有试验点的海岸线进行更可靠的探测;iii) 使用实测的地形测深数据来获得基于基准的卫星海岸线和测深数据。在西班牙的几个试点地点对这些卫星产品的准确性和技能进行了评估。结果表明,水平精度很高(均方根误差< 像素大小),误差约为像素大小的一半(RMSE = 5.0 米,Sentinel-2 为 5.0 米,Landsat5 为 18.8 米)。此外,此处使用的海岸线误差与广泛使用的开源工具 CoastSat 得出的误差相当。利用卫星获得的海岸线进行的时间序列分析表明,可以在多个时空尺度上探测到沿岸变化 过程,如小海滩上的短期侵蚀和增生事件、季节性海滩旋转以及局部和区域尺度上的长期趋势。然而,卫星水深测量的结果表明,利用三维产品对海岸形态进行定量评估仍然有限。为了获得代表具体地点情况的卫星数据,有必要进行一些现场测量。然而,要获得卫星得出的海岸线和水深测量值的可靠时间序列,所需的辅助原位测量数 量大大低于传统监测方法所需的数量。对这些结果进行了讨论,强调了今后需要填补的空白,以便在通常的沿岸变化监 测实践中使用卫星衍生产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Coastal Engineering
Coastal Engineering 工程技术-工程:大洋
CiteScore
9.20
自引率
13.60%
发文量
0
审稿时长
3.5 months
期刊介绍: Coastal Engineering is an international medium for coastal engineers and scientists. Combining practical applications with modern technological and scientific approaches, such as mathematical and numerical modelling, laboratory and field observations and experiments, it publishes fundamental studies as well as case studies on the following aspects of coastal, harbour and offshore engineering: waves, currents and sediment transport; coastal, estuarine and offshore morphology; technical and functional design of coastal and harbour structures; morphological and environmental impact of coastal, harbour and offshore structures.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信