Shoreline Change from Optical and Sar Satellite Imagery at Macro-Tidal Estuarine, Cliffed Open-Coast and Gravel Pock-ET-Beach Environments
Shoreline Change from Optical and Sar Satellite Imagery at Macro-Tidal Estuarine, Cliffed Open-Coast and Gravel Pock-ET-Beach Environments
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宏观潮汐河口、悬崖开阔海岸和砾石波克-ET-海滩环境中光学和 Sar 卫星图像的海岸线变化
DOI：
10.3390/jmse10050561
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发表时间：
2022
影响因子：
2.9
通讯作者：
S. Savastano
中科院分区：
文献类型：
--
作者：
María Victoria Paz;A. Payo;Alejandro Gómez;A. Beck;S. Savastano
海岸在不断变化，卫星遥感有潜力绘制和监测多个尺度的海岸变化。本研究旨在评估从公开卫星图像中的多光谱图像（MSI）和合成孔径雷达（SAR）提取的海岸线的应用，以绘制和捕获亚年至年际海岸线变化。这是在英国英格兰海岸线沿线的三个宏观潮汐研究地点进行的评估：河口、软崖环境和砾石口袋海滩。我们根据地面实况基准潮线数据评估了 MSI 推导线的准确性，发现在数字高程模型上，卫星推导线往往比基准潮线低（向海）。我们还比较了从区分上升轨道和下降轨道的 SAR 线得出的变化度量。通过主成分分析从 SAR 线中提取的空间和时间特征表明，在我们研究区域的下降轨道的 SAR 数据集中捕获了海滩旋转，但没有捕获上升轨道的海滩旋转。本研究有助于我们了解利用公开的 MSI 和 SAR 卫星任务得出的海岸线的一个鲜为人知的方面。它概述了一种利用新的非前滩方法评估其测绘精度的定量方法。这允许使用开放数字海岸线分析系统（ODSAS）方法评估变化指标的变异性，并使用可转移到全球海岸线演变评估的主成分分析（PCA）提取复杂的空间和时间信息。
Coasts are continually changing and remote sensing from satellite has the potential to both map and monitor coastal change at multiple scales. This study aims to assess the application of shorelines extracted from Multi-Spectral Imagery (MSI) and Synthetic Aperture Radar (SAR) from publicly available satellite imagery to map and capture sub-annual to inter-annual shoreline variability. This is assessed at three macro-tidal study sites along the coastline of England, United Kingdom (UK): estuarine, soft cliff environment, and gravel pocket-beach. We have assessed the accuracy of MSI-derived lines against ground truth datum tideline data and found that the satellite derived lines have the tendency to be lower (seaward) on the Digital Elevation Model than the datum-tideline. We have also compared the metric of change derived from SAR lines differentiating between ascending and descending orbits. The spatial and temporal characteristics extracted from SAR lines via Principal Component Analysis suggested that beach rotation is captured within the SAR dataset for descending orbits but not for the ascending ones in our study area. The present study contributes to our understanding of a poorly known aspect of using coastlines derived from publicly available MSI and SAR satellite missions. It outlines a quantitative approach to assess their mapping accuracy with a new non-foreshore method. This allows the assessment of variability on the metrics of change using the Open Digital Shoreline Analysis System (ODSAS) method and to extract complex spatial and temporal information using Principal Component Analysis (PCA) that is transferable to coastline evolution assessments worldwide.
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DOI：
10.2112/si75-211.1
发表时间：
2016-08
期刊：
--
影响因子：
--
作者：
Olivier Burvingt;G. Masselink;P. Russell;T. Scott
通讯作者：
Olivier Burvingt;G. Masselink;P. Russell;T. Scott
在非常不规则的平面海岸线上开发悬崖顶部和脚趾的自动描绘（CliffMetrics v1.0）
影响因子：
5.1
作者：
Payo A
通讯作者：
Payo A
影响因子：
3.9
作者：
Olivier Burvingt;G. Masselink;P. Russell;T. Scott
通讯作者：
Olivier Burvingt;G. Masselink;P. Russell;T. Scott
开放式数字海岸线分析系统：ODSAS v1.0
影响因子：
2.9
作者：
Gómez-Pazo A
通讯作者：
Gómez-Pazo A