基于SAR变化检测的洪水事件特征评估及河漫滩恢复前后

Q3 Social Sciences
Sean Jarrett, D. Hölbling
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引用次数: 0

摘要

提出了一种利用Sentinel-1合成孔径雷达(SAR)数据来证明河漫滩恢复后洪水变化的方法。一个自然洪水管理(NFM)项目,在英格兰南部的乌斯河上,由苏塞克斯流动倡议承担,分析确定任何减少以前的洪水风险。对变化检测分析的结果进行GIS操作,以确定NFM安装后洪水面积、形态和密实度如何受到影响,以及这些变化与项目目标的关系。基于互联网发布的无人机视频的洪水记录验证了变化检测方法。开发了一个记分卡来评估修复后的洪水与安装措施之前的洪水相比的空间变化的利弊。评估结果用于SFI项目的年度报告,以证明洪水的衰减符合项目的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAR Change Detection to Evaluate Flood Event Characteristics, Pre- and Post-Restoration of a Floodplain
A method using Sentinel-1 synthetic aperture radar (SAR) data to evidence flood changes after floodplain restoration is proposed. A Natural Flood Management (NFM) project on the Ouse river in southern England, undertaken by the Sussex Flow Initiative, was analysed to ascertain any reduction of previous flood risk. GIS operations were conducted on the results of the change detection analysis to identify how flood area, form and compactness were affected after the NFM installation, and how these changes relate to the project aims. Flood records based on internet-published drone footage verified the change detection methodology. A scorecard was developed to evaluate the benefits and disadvantages of spatial changes seen in post-restoration floods in comparison to inundation before the measures were installed. Evaluation results were used in the annual report of the SFI project to demonstrate the attenuation of floodwaters in accordance with the aims of the project.
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来源期刊
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
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