首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >REMOTE SENSING TECHNIQUES IN DISASTER MANAGEMENT: AMYNTEON MINE LANDSLIDES, GREECE
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REMOTE SENSING TECHNIQUES IN DISASTER MANAGEMENT: AMYNTEON MINE LANDSLIDES, GREECE

机译:灾害管理中的遥感技术:希腊安米顿矿山滑坡

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Natural or man-made disasters are phenomena that can affect large areas and have many environmental, societal and economic impacts. Landslides are among the major disasters of large scale that may affect the natural environment as well as urban areas, often causing massive destruction, loss of property, or even fatalities worldwide. Developing tools that are effective for disaster management is imperative to monitor and mitigate their effect. Satellite data and remote sensing techniques, combined with geological data and studies can provide valuable information regarding monitoring of natural hazards in general and especially of landslides. This paper concerns the ex ante and ex post study of a complex set of landslides that occurred in the lignite mine of Amynteon in north-western Greece (June 2017), where large masses of Neogene lacustrine and Quaternary fluvial sediments were detached and moved. The study area is located at the transfer zone between the overlapping tips of two large NE-SW trending normal fault zones affecting the overlying sediments: the NW-dipping Anargyri fault and the SE-dipping Vegora fault. The fragmentation caused by these fault zones weakened the material cohesion, which was further degraded by mining activities and hydrogeological factors, leading to the catastrophic event. The landslide occurred in along the south faces of the mine, resulting to extended collapses, destruction of mining machinery, evacuation of the adjacent Anargyri village and a big financial impact that has not yet been determined. Landsat 8 and Sentinel-2 satellite data acquired before and after the event are being used. Digital image processing techniques are applied for change detection. In addition, geological data are being used to provide information about the geological background of the area and landslides vulnerability. Visual interpretation of the area affected by the landslides is also being done, contributing to the overall study.
机译:人为或自然灾害是可能影响大片地区并且对环境,社会和经济产生许多影响的现象。滑坡是可能影响自然环境和城市地区的大规模重大灾害之一,常常在世界范围内造成大规模破坏,财产损失甚至死亡。必须开发有效的灾难管理工具来监视和减轻其影响。卫星数据和遥感技术与地质数据和研究相结合,可以提供有关监测一般自然灾害特别是滑坡的宝贵信息。本文涉及事前和事后对希腊西北部Amynteon褐煤矿中发生的一系列复杂滑坡的研究(2017年6月),大量新近纪湖相和第四纪河流沉积物被分离并移动。研究区域位于两个大的NE-SW趋势正断层的重叠尖端之间的过渡带,这些断层影响上覆的沉积物:NW浸入的Anargyri断层和SE浸入的Vegora断层。这些断层带造成的破碎削弱了物质的内聚力,由于采矿活动和水文地质因素进一步削弱了内聚力,从而导致了灾难性事件。滑坡发生在矿山的南面,导致塌陷扩大,采矿机械遭到破坏,相邻的Anargyri村庄撤离以及尚未确定的重大财务影响。使用事件前后的Landsat 8和Sentinel-2卫星数据。数字图像处理技术被应用于变化检测。另外,地质数据被用于提供有关该地区的地质背景和滑坡易损性的信息。还对受滑坡影响的区域进行了视觉解释,为整个研究做出了贡献。

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