APA (7th ed.) Citation

Li, S., Hu, S., Wang, L., Zhang, F., Wang, N., Wu, S., . . . Jiang, Z. Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods. MDPI AG.

Chicago Style (17th ed.) Citation

Li, Sisi, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, and Zongda Jiang. Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods. MDPI AG.

MLA (9th ed.) Citation

Li, Sisi, et al. Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods. MDPI AG.