An information extraction method of earthquake-induced landslide: a case study of the Jiuzhaigou earthquake in 2017

doi:10.7523/j.issn.2095-6134.2020.01.011

Abstract

Abstract: Earthquake-induced landslide is the most common and the most destructive geological secondary disaster triggered by the earthquake. Rapid and accurate extraction of the distribution and extent information of landslides is of great significance for post-earthquake emergency rescue and post-disaster reconstructions. In this study, we take the Zhangzha Town, the heavily hit district by the "8·8 Jiuzhaigou earthquake", as the study region, and the information concerning the distribution and extent of the earthquake-induced landslides was extracted by combining the change detection technology and the object-oriented method. The extracted information was optimized using the improved region growing algorithm based on Sentinel-2A image. The extraction performance was evaluated by comparison with the traditional CVA extraction results, and the results indicated that the overall accuracy of our extraction was above 90% and the Kappa coefficient was over 0.7. The higher automation level and quicker processing of the proposed method in this study meet the time and precision requirements for earthquake emergency rescues.

Key words: earthquake-induced landslide information extraction, Jiuzhaigou earthquake, change detection technology, object-oriented method

CLC Number:

TP751.1

LI Qilun, ZHANG Wanchang, YI Yaning. An information extraction method of earthquake-induced landslide: a case study of the Jiuzhaigou earthquake in 2017[J]. , 2020, 37(1): 93-102.

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