Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China

@article{Chen2016LandslideSM,
  title={Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China},
  author={Wei Chen and Huichan Chai and Zhou Zhao and Qiqing Wang and Haoyuan Hong},
  journal={Environmental Earth Sciences},
  year={2016},
  volume={75},
  pages={1-13}
}
  • Wei Chen, Huichan Chai, +2 authors Haoyuan Hong
  • Published in Environmental Earth Sciences 2016
  • Geology
  • Abstract The main purpose of this study is to produce reliable susceptibility maps using GIS-based support vector machine (SVM) models and compare their performances for the Qianyang County of Baoji City, Shaanxi Province, China. In this paper, with kernel classifiers of linear, polynomial, radial basis function and sigmoid, the four various types were applied in landslide susceptibility mapping. The important input parameters for the landslide susceptibility assessment were acquired from… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures and Tables from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 13 CITATIONS

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 69 REFERENCES

    The Nature of Statistical Learning Theory

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL