Retrieval of Boreal Forest Heights Using an Improved Random Volume over Ground (RVoG) Model Based on Repeat-Pass Spaceborne Polarimetric SAR Interferometry: The Case Study of Saihanba, China. - Yu Mao; Opelele Omeno Michel; Ying Yu; Wenyi Fan 001; Ao Sui; Zhihui Liu; Guoming Wu (Remote. Sens., 2021)

An Improved Forest Height Model Using L-Band Single-Baseline Polarimetric InSAR Data for Various Forest Densities. - Ao Sui; Opelele Omeno Michel; Yu Mao; Wenyi Fan 001 (Remote. Sens., 2023)

Inversion of Boreal Forest Height Using the CRITIC Weighted Least Squares Three-Stage Temporal Decorrelation Iterative Algorithm. - Ao Sui; Wenyi Fan 001 (Remote. Sens., 2024)