Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area

WANG Xuan; FAN Xuanmei; YANG Fan; DONG Xiujun

doi:10.13203/j.whugis20200044

Volume 45 Issue 11

Nov. 2020

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Geomatics and Information Science of Wuhan University > 2020 > 45(11): 1771-1781. > DOI: 10.13203/j.whugis20200044

WANG Xuan, FAN Xuanmei, YANG Fan, DONG Xiujun. Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1771-1781. DOI: 10.13203/j.whugis20200044

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Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area

1.
State Key Laboratory of Geohazards Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

Funds:

The Science Fund for Creative Research Groups of the National Natural Science Foundation of China 41521002

Land and Resources Research Program of Sichuan Province KJ-2018-22

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Author Bio:
WANG Xuan, postgraduate, specializes in geological hazards susceptibility and risk assessment. E-mail: 592228598@qq.com
Corresponding author:
FAN Xuanmei, PhD, researcher. E-mail: fxm_cdut@qq.com
Received Date: February 13, 2020
Published Date: November 18, 2020

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Abstract

Abstract

Objectives Traditional methods for remote sensing interpretation are difficult to identify historical geohazards covered by dense vegetation. For the purpose of interpreting the pre-seismic geohazards in the area of Panda Sea, Jiuzhaigou, and analyze the characteristics and distribution law, we propose a new methodology for geomorphologic identification masks and remote sensing interpretation regarding collapse, landslide and debris flow.
Methods Based on high-resolution LiDAR(light detection and ranging) data and data processing method of RRIM(red relief image map). RRIM is formed by the superposition of positive openness, negative openness and slope. RRIM method can supplement the shortcomings of the existing terrain visualization techniques, and apply the influence of environmental light to the terrain display, so that the visual interpretation can clearly identify the differences of landforms, and is more conducive to the identification and accurate interpretation of geohazards in mountainous areas.
Results Aiming at the Panda Sea area, which is the most seriously affected by Jiuzhaigou earthquake, the RRIM method is used to interpret the pre-seismic geohazards. A total of 311 pre-earthquake pre-seismic geohazards are interpreted and classified according to their characteristics, then are analyzed for spatial distribution.
Conclusions The verified results show that the high-resolution LiDAR data combined with RRIM is of great significance to improve the interpretation of geohazards of mountainous area with dense vegetation coverage, and provide data support for the geohazards prevention and risk assessment of the earthquake area in Jiuzhaigou.
- Jiuzhaigou earthquake,
- geological hazards,
- remote sensing interpretation,
- LiDAR,
- RRIM

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