UAV-based high-resolution mapping of a complex landslide: an example from Basilicata, southern Italy

IF 1.2 Q2 GEOLOGY Geological Field Trips and Maps Pub Date : 2023-04-01 DOI:10.3301/gft.2023.01
P. Giannandrea, M. Bavusi, Lucia Contillo, D. Lacava, Salvatore Laurita, M. Schiattarella
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Abstract

This paper accompanies a UAV-based geological-geomorphological map (1:1,000 scale) of a complex landslide periodically re-activated, localized not far from the town of Potenza in Basilicata, southern Italy. A fixed-wings eBee drone equipped with a conventional digital RGB photocamera ( senseFly S.O.D.A.) was used to collect airborne digital elevation models (DEMs), orthophotos, and density point clouds in 2014 and 2018. The two photogrammetric surveys helped us to quickly detect the features of the new mass movement episodes. Three Google Earth Pro orthophotos filled the lack of information of the years in between. Topographic contours of the landslides with their morphological scarps and geological data from the 2018 field survey were processed using free and open-source software QGIS 3.22.4. For graphic adjustment and the final layout, the main map was imported into Adobe Illustrator CC 2018 and CorelDraw and embedded into an A0 map frame. The geological-geomorphological map reports a detailed representation of the bedrock geological structures, the ancient landslide bodies now stabilized, and the recent landslides occurred from 2014 to 2018 as deduced by the multitemporal analysis. Geomorphic features and facies analysis allowed us to interpret as debris flows and mud flows the depositional processes responsible for the genesis of the landslide bodies reaching the thalweg of the Basento River.
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基于无人机的复杂滑坡高分辨率地图:以意大利南部巴西利卡塔为例
这篇论文附带了一幅基于无人机的地质地貌图(1:10 00比例尺),显示了一个周期性重新激活的复杂滑坡,该滑坡位于意大利南部巴西利卡塔的波坦察镇不远。2014年和2018年,使用搭载传统RGB数码相机(senseFly S.O.D.A.)的固定翼eBee无人机采集了机载数字高程模型(dem)、正射影像和密度点云。这两次摄影测量帮助我们迅速发现了新的群众运动事件的特征。三张Google Earth Pro正射影像图填补了这两年间信息的缺失。利用免费开源软件QGIS 3.22.4对2018年野外调查的滑坡地貌等高线及其形态陡坡和地质数据进行处理。为了进行图形调整和最终布局,将主地图导入Adobe Illustrator CC 2018和CorelDraw并嵌入到A0地图框架中。地质地貌图详细描述了基岩地质结构、古滑坡体现已稳定,并根据多时相分析推断出2014 - 2018年发生的近期滑坡。地貌特征和相分析使我们能够解释为泥石流和泥石流的沉积过程负责滑坡体的成因到达巴桑托河的thalwebe。
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CiteScore
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自引率
16.70%
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0
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