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Extraction and Analysis of Co-seismic Landslides of the Luding Earthquake Based on Optical Images
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Xi-xuan BAI1, Jiang-cheng CHEN1, Shu-wen ZHAN1, Bing-qiang ZHANG1, Xiao-ya BIAN1, Yi YAN2, Ai-zhi GUO3, *
Science Technology and Engineering | 2025, 25(17) : 7061 - 7071
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Science Technology and Engineering | 2025, 25(17): 7061-7071
Papers-Astronomy and Geosciences
Extraction and Analysis of Co-seismic Landslides of the Luding Earthquake Based on Optical Images
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Xi-xuan BAI1, Jiang-cheng CHEN1, Shu-wen ZHAN1, Bing-qiang ZHANG1, Xiao-ya BIAN1, Yi YAN2, Ai-zhi GUO3, *
Affiliations
  • 1 School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China
  • 2 College of Resources and Environment, South-Central Minzu University, Wuhan 430070, China
  • 3 Innovation Academy for Precision Measurement Science and Technology, The Chinese Academy of Sciences, Wuhan 430077, China
Published: 2025-06-18 doi: 10.12404/j.issn.1671-1815.2404549
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In order to better study the spatial distribution of co-seismic landslides of the Luding earthquake, satellite images of Sentinel-2 on July 8 before and October 1 after the 2022 Luding earthquake were acquired, and a study area of 145.6 km2 was obtained after cropping. Supervised classification was performed on the two images using the minimum distance method, maximum likelihood method, and neural network method, respectively, and the classification results were verified by calculating the overall accuracy and Kappa coefficient. Finally, the supervised classification results of the neural network method of the two images were selected for comparison to obtain the change detection results, and a total of 2 247 co-seismic landslides were identified in the study area, covering an area of 22.61 km2, which accounted for 15.53% of the total study area. In the statistics of the slope direction, it was found that the slope direction of the co-seismic landslides radiated in the vertical direction of the originating fault to both sides, indicating that the co-seismic landslides were influenced by the originating fault. The analysis of elevation distribution pointed out that the landslides were mainly concentrated in the elevation range of 1 000 m to 2 000 m, accounting for more than 90% of the total. The analysis with other factors indicated that the landslide events were mainly concentrated near rivers, roads and on mountain slopes. The results of the principal component analysis indicates that the most important factor influencing the incidence of landslides in the same earthquake is the distribution of topographic deposits.

Luding earthquake  /  co-seismic landslides  /  supervised classification  /  Sentinel-2
Xi-xuan BAI, Jiang-cheng CHEN, Shu-wen ZHAN, Bing-qiang ZHANG, Xiao-ya BIAN, Yi YAN, Ai-zhi GUO. Extraction and Analysis of Co-seismic Landslides of the Luding Earthquake Based on Optical Images[J]. Science Technology and Engineering, 2025 , 25 (17) : 7061 -7071 . DOI: 10.12404/j.issn.1671-1815.2404549
Year 2025 volume 25 Issue 17
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Article Info
doi: 10.12404/j.issn.1671-1815.2404549
  • Receive Date:2024-06-18
  • Online Date:2025-12-15
  • Published:2025-06-18
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  • Received:2024-06-18
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Affiliations
    1 School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China
    2 College of Resources and Environment, South-Central Minzu University, Wuhan 430070, China
    3 Innovation Academy for Precision Measurement Science and Technology, The Chinese Academy of Sciences, Wuhan 430077, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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