LIU Yuanbo, NIU Ruiqing, YU Xianyu, ZHANG Kaixiang. Application of the Rotation Forest Model in Landslide Susceptibility Assessment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6): 959-964. DOI: 10.13203/j.whugis20160132
Citation: LIU Yuanbo, NIU Ruiqing, YU Xianyu, ZHANG Kaixiang. Application of the Rotation Forest Model in Landslide Susceptibility Assessment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6): 959-964. DOI: 10.13203/j.whugis20160132

Application of the Rotation Forest Model in Landslide Susceptibility Assessment

  • Focusing on Wanzhou region of the Three Gorges Reservoir, 29 hazard factors were extracted from the multi-source spatial data used in evaluation factors in landslide susceptibility analysis. The study area was partitioned into slope units from digital elevation model to resample the conditio-ning factors. A rotation forest model was trained and used to map landslide susceptibility with the best accuracy being 90.7%, according to the receiver operator characteristic (ROC) curve and area under the curve (AUC). The higher susceptibility zones were about 11.6% of the total area, and primarily distributed in the main Wanzhou city zone, and along both sides of the Yangtze River and its tributaries. The stability zones are accounted for about 45.6%, mainly distributed in the areas of low human engineering activities and high surface cover degree. The results show that application of rotation forest in the landslide susceptibility assessment exhibits both excellent prediction ability and high accuracy.
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