Rong, G.; Alu, S.; Li, K.; Su, Y.; Zhang, J.; Zhang, Y.; Li, T.
Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China. Water 2020, 12, 3066.
https://doi.org/10.3390/w12113066
AMA Style
Rong G, Alu S, Li K, Su Y, Zhang J, Zhang Y, Li T.
Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China. Water. 2020; 12(11):3066.
https://doi.org/10.3390/w12113066
Chicago/Turabian Style
Rong, Guangzhi, Si Alu, Kaiwei Li, Yulin Su, Jiquan Zhang, Yichen Zhang, and Tiantao Li.
2020. "Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China" Water 12, no. 11: 3066.
https://doi.org/10.3390/w12113066
APA Style
Rong, G., Alu, S., Li, K., Su, Y., Zhang, J., Zhang, Y., & Li, T.
(2020). Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China. Water, 12(11), 3066.
https://doi.org/10.3390/w12113066