Publications | ICESat-2

Displaying Items 1 - 5 of 5

2024

Lei, Y. , Yu, Y. , Li, W. , Shi, J. , Fu, A. , Xu, J.
(2024). Tropical Forest Height Inversion in Hainan Province of China Using the Chinese Lutan-1 Spaceborne L-Band Bistatic SAR Interferometry. IGARSS 2024, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, https://doi.org/10.1109/IGARSS53475.2024.10640503.
Ren, Y. , Guan, H. , Yang, H. , Su, Y. , Tao, S. , Cheng, K. , Li, W. , Yang, Z. , Huang, G. , Li, C. , Xu, G. , Lu, Z. , Guo, Q.
(2024). Discovering and measuring giant trees through the integration of multi-platform lidar data. Methods in Ecology and Evolution, 15 (10), https://doi.org/10.1111/2041-210X.14401.

2023

Wang, S. , Liu, C. , Li, W. , Jia, S. , Yue, H.
(2023). Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data optical imagery. International Journal of Applied Earth Observation Geoinformation, 122, https://doi.org/10.1016/j.jag.2023.103431.

2022

Li, W. , Slobbe, C. , Lhermitte, S.
(2022). A leading-edge-based method for correction of slope-induced errors in ice-sheet heights derived from radar altimetry. The Cryosphere, 16 (6), https://doi.org/10.5194/tc-16-2225-2022.

2020

Li, W. , Niu, Z. , Shang, R. , Qin, Y. , Wang, L. , Chen, H.
(2020). High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2, and Landsat-8 data. International Journal of Applied Earth Observation and Geoinformation, 92, https://doi.org/10.1016/j.jag.2020.102163.