Cite
Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China.
MLA
Xiao, Bo, et al. “Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China.” Sensors (14248220), vol. 22, no. 20, Oct. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.3390/s22208041.
APA
Xiao, B., Zhao, J., Li, D., Zhao, Z., Zhou, D., Xi, W., & Li, Y. (2022). Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China. Sensors (14248220), 22(20), N.PAG. https://doi.org/10.3390/s22208041
Chicago
Xiao, Bo, Junsan Zhao, Dongsheng Li, Zhenfeng Zhao, Dingyi Zhou, Wenfei Xi, and Yangyang Li. 2022. “Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China.” Sensors (14248220) 22 (20): N.PAG. doi:10.3390/s22208041.