Open AccessUsing UAV-based Technology to Enhance Landslide Investigation: A Case Study in Fei Ngo Shan, Kowloon
Author(s) -
W. Hou,
J. R. Hart,
R. Tsui,
Artthew Ng,
C. Cheung
Publication year - 2022
Publication title -
aijr proceedings
Language(s) - English
Resource type - Conference proceedings
ISSN - 2582-3922
DOI - 10.21467/proceedings.126.8
Subject(s) - landslide , terrain , natural hazard , hazard , computer science , natural disaster , digital elevation model , field (mathematics) , remote sensing , cartography , geology , geography , meteorology , geomorphology , chemistry , mathematics , organic chemistry , pure mathematics
Establishing landslide models plays a critical role in Natural Terrain Hazard Studies (NTHS). Conventional approaches adopted by NTHS practitioners may be subject to temporal and spatial limitations. In particular, landslide volume estimations are prone to inaccuracies using conventional approaches including direct, field-based measurements due to time and access constraints. With the rapid advancement of unmanned aerial vehicle (UAV) and ‘Structure from Motion’ (SfM) technologies in recent years, digital methods are being developed to provide useful and practical tools, which can be applied quickly, to enhance the results of landslide mapping. In this paper, we present a natural terrain landslide case study from a cluster of landslides, which were probably triggered by an intense short-duration rainstorm on 6 June 2020 at Fei Ngo Shan, Kowloon.