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利用多时相卫星图像进行海岸线变化评估:以土耳其西北部萨潘卡湖为例

Shoreline change assessment using multi-temporal satellite images: a case study of Lake Sapanca, NW Turkey.

作者信息

Duru Umit

机构信息

Department of Geography, Sakarya University, 54187, Sakarya, Turkey.

出版信息

Environ Monit Assess. 2017 Aug;189(8):385. doi: 10.1007/s10661-017-6112-2. Epub 2017 Jul 7.

Abstract

The research summarized here determines historical shoreline changes along Lake Sapanca by using Remote Sensing (RS) and Geographical Information Systems (GIS). Six multi-temporal satellite images of Landsat Multispectral Scanner (L1-5 MMS), Enhanced Thematic Mapper Plus (L7 ETM+), and Operational Land Imager Sensors (L8 OLI), covering the period between 17 June 1975 and 15 July 2016, were used to monitor shoreline positions and estimate change rates along the coastal zone. After pre-possessing routines, the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), and supervised classification techniques were utilized to extract six different shorelines. Digital Shoreline Analysis System (DSAS), a toolbox that enables transect-based computations of shoreline displacement, was used to compute historical shoreline change rates. The average rate of shoreline change for the entire cost was 2.7 m/year of progradation with an uncertainty of 0.2 m/year. While the great part of the lake shoreline remained stable, the study concluded that the easterly and westerly coasts and deltaic coasts are more vulnerable to shoreline displacements over the last four decades. The study also reveals that anthropogenic activities, more specifically over extraction of freshwater from the lake, cyclic variation in rainfall, and deposition of sediment transported by the surrounding creeks dominantly control spatiotemporal shoreline changes in the region. Monitoring shoreline changes using multi-temporal satellite images is a significant component for the coastal decision-making and management.

摘要

本文总结的研究通过使用遥感(RS)和地理信息系统(GIS)来确定萨潘卡湖沿岸的历史海岸线变化。利用了六幅多时段卫星图像,这些图像来自陆地卫星多光谱扫描仪(L1 - 5 MMS)、增强型专题绘图仪升级版(L7 ETM +)和业务陆地成像仪传感器(L8 OLI),覆盖了1975年6月17日至2016年7月15日期间,用于监测海岸线位置并估算沿海区域的变化率。在进行预处理程序后,利用归一化差异水体指数(NDWI)、改进的归一化差异水体指数(MNDWI)和监督分类技术提取了六条不同的海岸线。数字海岸线分析系统(DSAS)是一个能够基于断面计算海岸线位移的工具箱,用于计算历史海岸线变化率。整个海岸的海岸线平均变化率为每年2.7米的淤积,不确定性为每年0.2米。虽然大部分湖岸线保持稳定,但研究得出结论,在过去四十年中,东海岸和西海岸以及三角洲海岸更容易受到海岸线位移的影响。该研究还表明,人为活动,更具体地说是从湖中过度抽取淡水、降雨的周期性变化以及周围小溪输送的沉积物沉积,在很大程度上控制了该地区海岸线的时空变化。利用多时段卫星图像监测海岸线变化是沿海决策和管理的重要组成部分。

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