Spatial Modeling and Analysis for Shoreline Change Detection and Coastal Erosion Monitoring
Spatial Modeling and Analysis for Shoreline Change Detection and Coastal Erosion Monitoring
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DOI：
10.1080/01490410121502
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发表时间：
2001
期刊：
影响因子：
1.6
通讯作者：
Rongxing Li;Jung-kuan Liu;Y. Felus
中科院分区：
文献类型：
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作者：
Rongxing Li;Jung-kuan Liu;Y. Felus
海岸侵蚀是整个美国沿海地区的一个严重问题。俄亥俄州地质调查局估计，自 1870 年代以来，俄亥俄州伊利湖沿岸已有超过 3,200 英亩的土地因侵蚀而消失，每年造成的经济损失超过数千万美元。本文介绍了一个使用高分辨率图像监测海岸线侵蚀并检查侵蚀原因的项目的研究结果。空间建模和分析方法应用于伊利湖南岸的项目区域。海岸线表示为动态分段的线性模型，该模型链接到描述海岸线变化的大量数据。一种新方法使用数字水位模型、沿海地形模型和测深数据来计算瞬时海岸线。该方法提供了一种算法，用于导出对于导航图至关重要的平均低水位 (MLLW) 和平均高水位 (MHW) 海岸线。结果描述了我们为合作而付出的努力的一部分......
Coastal erosion presents a serious problem throughout U.S. coastal areas. The Ohio Geological Survey estimates that more than 3,200 acres of Ohio's Lake Erie shore have been lost to erosion since the 1870s, resulting in economic losses exceeding tens of millions of dollars per year. This article presents research results of a project that monitors shoreline erosion using high-resolution imagery and examines erosion causes. Spatial modeling and analysis methods are applied to the project area along the south shore of Lake Erie. The shoreline is represented as a dynamically-segmented linear model that is linked to a large amount of data describing shoreline changes. A new method computes an instantaneous shoreline using a digital water level model, a coastal terrain model, and bathymetric data. This method provides an algorithm for deriving the Mean-Lower Low Water (MLLW) and the Mean High Water (MHW) shorelines that are essential to navigation charts. The results describe a part of our effort towards a coa...