Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)

Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia)
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使用 LiDAR 数据绘制萨格勒布市(克罗地亚)滑坡清单

DOI:
10.1080/17445647.2019.1671906
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发表时间:
2019
期刊:
影响因子:
2.2
通讯作者:
Snježana Mihalić Arbanas
Snježana Mihalić Arbanas
中科院分区:
地球科学3区
文献类型:
--
作者:
Sanja Bernat Gazibara;M. Krkač;Snježana Mihalić Arbanas

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萨格勒布市Podsljeme地区的山体滑坡造成了巨大的经济损失,在过去的几十年里,由于丘陵地区的城市化和气候变化的影响,经济损失一直在增加。利用空间分辨率为30 × 30 cm的机载激光雷达数字地形模型(DTM),编制了包含700多个已识别滑坡的21 km2试点地区滑坡清查图。发现的最小滑坡面积为43 m2, 90%的滑坡面积在100 ~ 2000 m2之间。试验区内所有已测绘的滑坡的频率大小分布表明,滑坡库存的完整性水平非常高。因此,基于激光雷达的地形模型是在梅德维德尼察山等植被茂密地区编制详细滑坡清单的有价值的工具。
ABSTRACT Landslides in the Podsljeme area of the City of Zagreb cause significant economic losses, which have been increasing over the last several decades due to the urbanisation of hilly areas and the influence of climate changes. An airborne LiDAR digital terrain model (DTM) with a spatial resolution of 30 × 30 cm was used to prepare a landslide inventory map of the pilot area (21 km2) with more than 700 identified landslides. The area of the smallest identified landslide is 43 m2, while 90% of the landslides are between 100 and 2,000 m2. The frequency–size distribution of all mapped landslides in the pilot area shows a very high level of landslide inventory completeness. Therefore, it is concluded that the LiDAR-based terrain model is a valuable tool for the preparation of detailed landslide inventories in heavily vegetated regions such as the hilly area of Medvednica Mt.