Article Versions Notes

Li S, Hu S, Wang L, Zhang F, Wang N, Wu S, Wang X, Jiang Z. Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods. Remote Sensing. 2024; 16(22):4203. https://doi.org/10.3390/rs16224203

Li, Sisi, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, and Zongda Jiang. 2024. "Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods" Remote Sensing 16, no. 22: 4203. https://doi.org/10.3390/rs16224203

Li, S., Hu, S., Wang, L., Zhang, F., Wang, N., Wu, S., Wang, X., & Jiang, Z. (2024). Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods. Remote Sensing, 16(22), 4203. https://doi.org/10.3390/rs16224203