In this study,a support vector machine algorithm is used to evaluate the landslide susceptibility in Jingzhou County,Hunan Province.Firstly,through field surveys,satellite photo interpretation and historical records of landslide,102 landslides,and 100 non-slide points are found.70%data are randomly used to train the model and 30%data are used to verify the model.Secondly,8 factors including slope,aspect,height,river distance,fault distance,road distance,land use,and human activity intensity are selected as the evaluation index of susceptibility.Then,the SVM model is trained with the parameters...