سابِق|تال

Recognition of earthquake-induced landslide and spatial distribution patterns triggered by the Jiuzhaigou earthquake in August 8, 2017

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China

    Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China

  • Email：liqiang08@163.com
  • Introduction：李强，1987年生，男，博士研究生，研究方向为遥感信息提取、遥感震害评估与应急理论和应用。E-mail：liqiang08@163.com
LI Qiang12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China

  • Email：zhangjingfa@hotmail.com
  • Introduction：张景发，1962年生，男，研究员，研究方向为遥感地震应急与评估、InSAR干涉测量技术、遥感活断层探测。E-mail：zhangjingfa@hotmail.com
ZHANG Jingfa2*,  
  • Affiliation：

    Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China

LUO Yi2,  
  • Affiliation：

    Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China

JIAO Qisong2

ملخص

The Jiuzhaigou earthquake with the magnitude of 7.0 occurred in August 8, 2017 and resulted in a large number of landslides near the panda sea area in Jiuzhaigou. These landslides caused road congestion and seriously affected the progress of earthquake emergency rescue. The landslide caused by earthquake has wide distribution and large quantity. Given the urgency of the disaster and high resolution of unmanned aerial vehicle (UAV) images, the traditional artificial visual interpretation model cannot meet the needs of earthquake emergency response. Therefore, an automatic information identification method must be developed to identify the distribution range of landslide rapidly and accurately. On the basis of comprehensive analysis of the features of remote sensing images of landslide, an automatic information identification model for object-oriented analysis was constructed. First, the remote sensing images were segmented at different scales to obtain different levels of image objects depending on different types and scales of land objects. Then, SEath algorithm was used to construct feature rule set automatically by the comprehensive utilization of the information of spectrum, texture, and shape of object at every level, and the distribution of earthquake-induced landslides was identified. Thereafter, the accuracy and efficiency of recognition were evaluated on the basis of artificial visual interpretation. Finally, the spatial distribution features of landslide body in topographic factor and fracture distribution layer were analyzed by statistical analysis. Using the acquired aerial image data of UAV, the earthquake landslide near the panda sea area of Jiuzhaigou earthquake was identified. The overall accuracy was 94.8%, and the Kappa coefficient was 0.827. The present method was twice as efficient as the artificial visual interpretation method under the same configuration of computer. The spatial distribution of landslide was positively related to slope and topographic relief but was negatively correlated with roughness. No evident relationship was found between the spatial distribution of landslide mass and the topographic factors such as slope and gradient of slope. Evident fault effects were observed in the distribution of landslide. In this study, the object-oriented analysis method was developed to realize automatic identification of earthquake-induced landslide using UAV images. On the basis of the comprehensive utilization of spectrum, texture, and shape of image objects at each segmentation level, an automatic construction method of feature rule set based on SEaTH algorithm was established, Finally, an automatic, efficient extraction of earthquake-induced landslides was realized. Compared with the artificial visual interpretation method, the automatic method of object-oriented analysis could effectively improve the efficiency and timeliness of disaster information identification after earthquake, which could break the pattern of multiple interpretations and save time for earthquake emergency response. The earthquake-induced landslide distribution features in elevation, slope, aspect, fault distance, and other factors were also analyzed. The correlation between landslide and topographic factors was found. Overall, the earthquake-induced landslide in the study area is mainly controlled by the Tazang fault. The spatial distribution rule can provide information support for landslide risk assessment, disaster investigation, prediction, and prevention.

مفهوم

Jiuzhaigou earthquake;unmanned aerial vehicle image;object-oriented;landslide;earthquake emergency

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