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Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China
Machine learning-based methods are commonly used for landslide susceptibility mapping. Most of the recent publications focused on quantitative analysis, i.e., improving data processing methods, comparing and perfecting the data-driven model itself, but rarely taking the qualitative aspects of the local landslide occurrences into consideration and the further analysis of the key features was always lacking. This chapter aims to combine qualitative and quantitative analysis and examine its effect on mapping accuracy. The key features for identifying landslide/non-landslide points of different sub-zones are further analyzed.
Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China
Machine learning-based methods are commonly used for landslide susceptibility mapping. Most of the recent publications focused on quantitative analysis, i.e., improving data processing methods, comparing and perfecting the data-driven model itself, but rarely taking the qualitative aspects of the local landslide occurrences into consideration and the further analysis of the key features was always lacking. This chapter aims to combine qualitative and quantitative analysis and examine its effect on mapping accuracy. The key features for identifying landslide/non-landslide points of different sub-zones are further analyzed.
Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Case Study of Yunyang County in Chongqing, China
Wengang, Zhang (author) / Hanlong, Liu (author) / Lin, Wang (author) / Xing, Zhu (author) / Yanmei, Zhang (author)
Application of Machine Learning in Slope Stability Assessment ; Chapter: 5 ; 61-77
2023-07-09
17 pages
Article/Chapter (Book)
Electronic Resource
English
Failure mechanism of a high-locality colluvial landslide in Wanzhou County, Chongqing, China
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