Publications | ICESat-2

Displaying Items 1 - 5 of 5

2024

Zhu, H. , Zhang, B. , Song, W. , Xie, Q. , Chang, X. , Zhao, R.
(2024). Forest Canopy Height Estimation by Integrating Structural Equation Modeling Multiple Weighted Regression. Forests, 15 (2), https://doi.org/10.3390/f15020369.
Tong, Y. , Liu, Z. , Fu, H. , Zhu, J. , Zhao, R. , Xie, Y. , Hu, H. , Li, N. , Fu, S.
(2024). Forest Canopy Height Estimation Combining Dual-Polarization PolSAR and Spaceborne LiDAR Data. Forests, 15 (9), 237-248. https://doi.org/10.3390/f15091654.

2023

Li, Y. , Fu, H. , Zhu, J. , Wang, L. , Zhao, R. , Wang, C.
(2023). A Photon Cloud Filtering Method in Forested Areas Considering the Density Difference Between Canopy Photons Ground Photons. IEEE Transactions on Geoscience Remote Sensing, 61, https://doi.org/10.1109/TGRS.2023.3267823.
Yu, T. , Ni, W. , Liu, J. , Zhao, R. , Zhang, Z. , Sun, G.
(2023). Extraction of tree heights in mountainous natural forests from UAV leaf-on stereoscopic imagery based on approximation of ground surfaces. Remote Sensing of Environment, 293, https://doi.org/10.1016/j.rse.2023.113613.
Zhao, R. , Ni, W. , Zhang, Z. , Dai, H. , Yang, C. , Li, Z. , Liang, Y. , Liu, Q. , Pang, Y. , Li, Z. , Sun, G.
(2023). Optimizing ground photons for canopy height extraction from ICESat-2 data in mountainous dense forests. Remote Sensing of Environment, 299, https://doi.org/10.1016/j.rse.2023.113851.