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A synergy of radar and optical data of Copernicus programme for landslide mapping.

机译:平地滑坡映射雷达和光学数据的协同作用。

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Landslides represent one of the greatest natural disasters and that makes their research notably crucial. The development of Sentinel missions, which implemented by European Space Agency (ESA) for the operational needs of the Copernicus programme that is directed by the European Commission, gives a new impetus to Earth Observation, providing timely, operational, easily accessible, global coverage and robust datasets. It is worth mentioning that the specific datasets are freely available to users from a web-based system, called "Copernicus Open Access Hub". This work deals with the exploitation of Sentinel-1 radar data as well as Sentinel-2 optical data in order to map the sliding areas of an active landslide. The landslide occurred in January 2017 as result of snow melting, while the area is located in Western Peloponnese, Greece. The total length of the landslide zone was about 300 m with a head width of 330 m while the landslide material is constituted from three different geologic formations mirroring the complex geotectonic of the wider area. In that context, radar data as well as optical data were collected and processed appropriately. Concerning radar data, Sentinel-1 images before and after the occurrence of the slide were acquired and interferometric processed yielding to a displacement map through the estimation of vertical displacements. On the other hand, corresponding Sentinel-2 optical data before and after the landslide event were collected and they were submitted to digital processing techniques such as change detection analysis. The results of the two methodologies were compared and also, they were evaluated for their accuracy using the actual displacement values obtained from GPS and UAV surveys.
机译:Landslides代表了最伟大的自然灾害之一,使他们的研究表明至关重要。由欧洲委员会指导的欧洲航天局(ESA)实施的Sentinel任务的发展为地球观察提供了新的动力,提供了及时,运营,易于访问,全球覆盖范围和强大的数据集。值得一提的是,特定数据集可从基于Web的系统自由使用,称为“Copernicus Open Access Hub”。这项工作涉及开发Sentinel-1雷达数据以及Sentinel-2光学数据,以便映射有源滑坡的滑动区域。由于雪融化,山体滑坡于2017年1月发生,而该地区位于希腊伯罗奔尼撒市。滑坡区的总长度约为300μm,头部宽度为330米,鞋垫材料由三种不同的地质形成构成,镜像较宽区域的复杂地理位置。在该上下文中,适当地收集和加工雷达数据以及光学数据。关于雷达数据,在载玻片的发生之前和之后的Sentinel-1图像被获取和干涉处理通过垂直位移来屈服于位移图。另一方面,收集了滑坡事件之前和之后的相应的Sentinel-2光学数据,并且它们被提交给数字处理技术,例如改变检测分析。比较了两种方法的结果,并且还使用从GPS和UAV调查获得的实际位移值来评估它们的准确性。

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