Abstract
Currently, the frequency of landslides is increasing. Scientific monitoring methods are playing an essential role in effectively reducing landslide disasters. This paper proposes a method for identifying the cracks at the trailing edge of a landslide (TEL) based on image processing technology and adopts the custom interval median comparison algorithm (IMCA) to calculate the crack motion parameters. First, we perform a series of processes on the TEL images, including image preprocessing, Otsu’s algorithm processing, and Canny edge detection processing, to identify the outline of the TEL. Then, we propose using the azimuth and displacement to characterize the motion of the cracks and using the IMCA to calculate the changes before and after motion of any two groups of cracks. Finally, we design a computer program using a free and open-source widget toolkit (named QT platform) based on the calculation model that corresponds to the proposed method, and we apply the crack monitoring test to a 3D simulation model, a gravel model, a soil model, and a collapsed body of the Panzhihua Airport landslide in southwestern China. From the results, it can be assessed that the method can identify the outline of the TEL and calculate the azimuth and displacement of two crack curves before and after motion. These two parameters can describe the movement of the trailing edge cracks of the monitored landslide. Thus, this method can be used in early warning system for landslide hazards.
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Acknowledgments
The authors would like to thank graduate students Xiang Wang, Lingyu Meng, Pan Zhong, and Tianxiang Zhuo for their help during the experiment part of the case study. The authors thank the editor Gianvito Scaringi and anonymous reviewers for their helpful comments and suggestions.
Funding
This work was sponsored by the National Natural Science Foundation of China under Grant 41521002 and Grant 41704130 and the funds of the Science Plans of Sichuan Province, China, under Grant 2018SZ0347 and Grant 17CZ0004. This research was also partially supported by the China Scholarship Council under Grant 201808510005.
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Wang, H., Nie, D., Tuo, X. et al. Research on crack monitoring at the trailing edge of landslides based on image processing. Landslides 17, 985–1007 (2020). https://doi.org/10.1007/s10346-019-01335-z
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DOI: https://doi.org/10.1007/s10346-019-01335-z