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Coastal Management Using UAS and High-Resolution Satellite Images for Touristic Areas

机译:利用UAS和高分辨率卫星图像进行旅游区的海岸管理

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摘要

Coastline change and human activities in shoreline zones are two factors indicating the vulnerability and the quality of a coastal environment. In this article, coastline evolution and spatiotemporal differences on coastal touristic infrastructure are presented as two case studies. Both case studies have increasing interest among scientists monitoring sensitive coastal areas, and for stakeholders evolved in the tourist industry. The study is twofold: monitors the shoreline evolution and examines how the shoreline behavior affects the seasonal anthropogenic touristic infrastructure. Shoreline detection methodology integrates unmanned aerial systems (UAS) or high-resolution satellite images for data acquisition, and geographic object-based image analysis (GEOBIA) for the shoreline recognition and the infrastructure change detection. The methodology used produced robust results in the aspect of mapping and detecting coastline changes, coastal erosion and the human pressure due to specific activities.
机译:海岸线变化和海岸线上的人类活动是表明沿海环境的脆弱性和质量的两个因素。本文以两个案例研究的形式介绍了海岸线演变和沿海旅游基础设施的时空差异。两种案例研究都对监视敏感沿海地区的科学家以及旅游业中发展的利益相关者越来越感兴趣。这项研究有两个方面:监测海岸线的演变,并研究海岸线的行为如何影响季节性的人为旅游基础设施。海岸线检测方法学整合了无人机系统(UAS)或高分辨率卫星图像以进行数据采集,并集成了基于地理对象的图像分析(GEOBIA)来进行海岸线识别和基础设施变更检测。所使用的方法学在绘制和检测海岸线变化,海岸侵蚀和由于特定活动而造成的人为压力方面产生了稳健的结果。

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