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LiDAR DEM detection and classification of postglacial faults and seismically-induced landforms in Finland: a paleoseismic database

机译:LiDAR DEM在芬兰的冰川后断层和地震诱发的地貌的检测和分类:古地震数据库

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During the last decades, postglacial faults (PGFs) have been found in northern Fennoscandia, the first fault scarps being discovered in western Finnish Lapland in the 1960s. With LiDAR-based digital elevation models (DEMs), a new and accurate remote sensing mapping methodology has been acquired. It allows the relatively rapid and low-cost detection and mapping of late- or PGFs and, for instance, mapping of landslides from areas where they have not previously been recognized. We describe the approach of the Geological Survey of Finland to the systematic search for (screening) and mapping of PGFs, paleolandslides, and other morphological features of Quaternary deposits related to post- and late-glacial seismic activity in Finland. The observations have been collected and classified into a file geodatabase with ArcGis ((c) ESRI) using a procedure that includes several steps. We also provide examples from western and northern Finland of how sites of late- and postglacial fault scarps and landslides have been detected and described from LiDAR DEM data.
机译:在过去的几十年中,在芬诺斯堪的亚北部发现了冰川后断层(PGF),1960年代在芬兰拉普兰西部发现了第一条断层陡峭带。借助基于LiDAR的数字高程模型(DEM),已经获得了一种新的准确的遥感制图方法。它可以相对快速和低成本地检测和绘制后期或PGF的地图,例如,对以前未认识到的地区的滑坡进行地图。我们描述了芬兰地质调查局对PGFs,古滑坡以及与芬兰冰川后和晚期地震活动有关的第四纪沉积物的其他形态特征进行系统搜索(筛选)和作图的方法。已使用包括几个步骤的过程收集了观测数据,并使用ArcGis((c)ESRI)将其分类到文件地理数据库中。我们还提供了来自芬兰西部和北部的示例,这些示例说明了如何从LiDAR DEM数据中检测和描述冰川后期和冰川后断层陡坡和滑坡的位置。

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