a high-positioned landslide occurred in Jinping Village,Junlian County
Yibin City
Sichuan Province,China. The landslide body transformed into debris flow during the movement
ultimately forming an extensive debris accumulation body that caused casualties
road damage and significant public concern across China. To address post-disaster emergency response demands and enable precise hazard assessment
airborne light detection and ranging (LiDAR) technology was applied to rapidly characterize key geometric parameters of the landslide
including areal extent
perimeter
and volumetric changes.
Methods
2
Post-disaster data acquisition occurred on February 10-11
2025
using a unmanned aerial vehicle equipped with a LiDAR system and oblique optical cameras. The acquisition yielded 30 points/m² density point cloud data and 0.05 m resolution optical imagery
from which an 0.1 m resolution digital elevation model (DEM)
0.05 m digital orthophoto map (DOM)
and 3D reality model were generated. Meanwhile
pre-event data
including 1 m resolution satellite and 5 m resolution DEM were also acquired to facilitate comprehensive analysis. Leveraging these datasets
multi-perspective systematic identification and precise extraction of landslide geometric parameters were conducted. For landslide volume
resampling and registering the two-phase DEMs followed by applying the DEM differencing algorithm were used.
Results
2
The landslide covere
d an area of about 1.8×10
5
m² with a perimeter of 2 562.8 m
measuring 908 m in length
with maximum/minimum widths of 296 m and 65 m respectively. The source volume was calculated at 3.51×10
5
m³
and the accumulation volume is 5.75×10
5
m³.
Conclusions
2
The analysis provide high-precision data support for assessing disaster chain effects
optimizing emergency rescue route
and delineating risk prevention and control zones.
ZHU Yaoqiang , ZOU Yinxian , ZHANG Hongjing , et al . Study of ‘Goaf’Structural Landslide Deformation Mechanism and Monitoring Program [J]. Guizhou Geology , 2018 , 35 ( 3 ): 233 - 239 .
YIN Nuxun , HOU Linyang , CAO Xingmin , et al . Influence of Unreasonable Mining Engineering Activities on Bedrock Bedrock Landslide:Taking Chongzi Landslide in Shengli Village,Gukai Township,Nayong County as an Example [J]. China Mining Magazine , 2020 , 29 ( S2 ): 353 - 355 .
CHEN Ningsheng , WU Mingyang , LI Anhui , et al . Field Survey of the Zhenxiong Landslide on January 22, 2024 in Yunnan Province, China [J]. Mountain Research , 2024 , 42 ( 3 ): 422 - 430 .
韩健楠 . 基于重构滑动面的滑坡体积测算 [D]. 西安 : 长安大学 , 2018 .
HAN Jiannan . Landslide Volume Estimation Using Reconstructed Failure Surfaces [D]. Xi'an : Chang'an University , 2018 .
FAN X M , VAN WESTEN C J , KORUP O , et al . Transient Water and Sediment Storage of the Decaying Landslide Dams Induced by the 2008 Wenchuan Earthquake, China [J]. Geomorphology , 2012 , 171 : 58 - 68 .
FU Hao , LI Weile , LU Huiyan , et al . Early Detection and Monitoring of Potential Landslides in Danba County Based on the Space-Air-Ground Investigation System [J]. Geomatics and Information Science of Wuhan University , 2024 , 49 ( 5 ): 734 - 746 .
DONG Xiujun , XU Qiang , SHE Jinxing , et al . Preliminary Study on Interpretation of Geological Hazards in Jiuzhaigou Based on Multi-source Remote Sensing Data [J]. Geomatics and Information Science of Wuhan University , 2020 , 45 ( 3 ): 432 - 441 .
XU Qiang . Understanding and Consideration of Related Issues in Early Identification of Potential Geohazards [J]. Geomatics and Information Science of Wuhan University , 2020 , 45 ( 11 ): 1651 - 1659 .
XU Qiang , DONG Xiujun , LI Weile . Integrated Space-Air-Ground Early Detection, Monitoring and Warning System for Potential Catastrophic Geohazards [J]. Geomatics and Information Science of Wuhan University , 2019 , 44 ( 7 ): 957 - 966 .
SHE Jinxing , XU Qiang , YANG Wunian , et al . Early Identification and Analysis of Earthquake and Geological Hazards in Jiuzhaigou [J]. Journal of Engineering Geology , 2023 , 31 ( 1 ): 207 - 216 .
PENG Yiwei , DONG Qi , TIAN Chong , et al . Research on Key Technologies and Application of Geological Hazard Identification Based on Airborne LiDAR [J]. Safety and Environmental Engineering , 2021 , 28 ( 6 ): 100 - 108 .
GUO Chen , XU Qiang , DONG Xiujun , et al . Geohazard Recognition by Airborne LiDAR Technology in Complex Mountain Areas [J]. Geomatics and Information Science of Wuhan University , 2021 , 46 ( 10 ): 1538 - 1547 .
GLENN N F , STREUTKER D R , CHADWICK D J , et al . Analysis of LiDAR-Derived Topographic Information for Characterizing and Differentiating Landslide Morphology and Activity [J]. Geomorphology , 2006 , 73 ( 1-2 ): 131 - 148 .
XU Yuxiang , HU Qingwu , DUAN Yansong , et al . Landslide Dynamic Monitoring Technology by Integrating LiDAR Point Cloud and UAV Image [J]. Bulletin of Surveying and Mapping , 2024 ( 8 ): 42 - 47 .
BOOTH A M , ROERING J J , PERRON J T . Automated Landslide Mapping Using Spectral Analysis and High-Resolution Topographic Data: Puget Sound Lowlands, Washington, and Portland Hills, Oregon [J]. Geomorphology , 2009 , 109 ( 3/4 ): 132 - 147 .
HANEBERG W C , COLE W F , KASALI G . High-Resolution LiDAR-Based Landslide Hazard Mapping and Modeling, UCSF Parnassus Campus, San Francisco, USA [J]. Bulletin of Engineering Geology and the Environment , 2009 , 68 ( 2 ): 263 - 276 .
KASAI M , IKEDA M , ASAHINA T , et al . LiDAR-Derived DEM Evaluation of Deep-Seated Landslides in a Steep and Rocky Region of Japan [J]. Geomorphology , 2009 , 113 ( 1-2 ): 57 - 69 .
ZHANG Chunquan , HOU Yongtao , DU Yanxin . Study on the Application of Airborne LiDAR in Geological Disaster Emergency Mapping [J]. Modern Surveying and Mapping , 2020 , 43 ( 5 ): 1 - 3 .
王琳 . 宜宾筠连县岩溶水源地保护区划分研究 [D]. 成都 : 成都理工大学 , 2016 .
WANG Lin . Delineation of Karst Groundwater Source Protection Zones in Yibin [D]. Chengdu : Chengdu University of Technology , 2016 .
JIA Juan . Landslide Susceptibility Assessment Using Rough Sets andSupport Vector Machine—A Case of Junlian County [D]. Chengdu : Chengdu University of Technology , 2018 .