Publications | ICESat-2

Displaying Items 1 - 16 of 16

2024

Jia, K. Ma, Y. Zhang, J. Wang, B. Zhang, X. Cui, A.
(2024). A Denoising Methodology for Detecting ICESat-2 Bathymetry Photons Based on Quasi Full Waveform. IEEE Transactions on Geoscience and Remote Sensing, 62, https://doi.org/10.1109/TGRS.2024.3422502.
Wang, E. Li, D. Wang, Z. Cao, W. Zhang, J. Wang, J. Zhang, H.
(2024). Pixel-level bathymetry mapping of optically shallow water areas by combining aerial RGB video photogrammetry. Geomorphology, 449, https://doi.org/10.1016/j.geomorph.2023.109049.
Xia, H. Wu, J. Yao, J. Xu, N. Gao, X. Liang, Y. Yang, J. Zhang, J. Gao, L. Jin, W. , etal.
(2024). Dynamic Inversion Method of Calculating Large-Scale Urban Building Height Based on Cooperative Satellite Laser Altimetry and Multi-Source Optical Remote Sensing. Land, 13 (8), https://doi.org/10.3390/land13081120.
Xu, Y. Zhou, T. Zeng, J. Luo, H. Zhang, Y. Liu, X. Lin, Q. Zhang, J.
(2024). Spatial Pattern of Forest Age in China Estimated by the Fusion of Multiscale Information. Forests, 15 (8), https://doi.org/10.3390/f15081290.
Zhang, X. Ma, Y. Li, Z. Zhang, J.
(2024). Synergistic detection of chlorophyll-a concentration vertical profile by spaceborne lidar ICESat-2 and passive optical observations. International Journal of Applied Earth Observation and Geoinformation, 132, https://doi.org/10.1016/j.jag.2024.104035.

2023

Leng, Z. Zhang, J. Ma, Y. Zhang, J.
(2023). ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active–Passive Data Fusion. Remote Sensing, 15 (2), https://doi.org/10.3390/rs15020460.
Leng, Z. Zhang, J. Ma, Y. Zhang, J.
(2023). ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active–Passive Data Fusion. Remote Sensing, 15 (2), https://doi.org/10.3390/rs15020460.
Wang, B. Ma, Y. Zhang, J. Zhang, H. Zhu, H. Leng, Z. Zhang, X. Cui, A.
(2023). A noise removal algorithm based on adaptive elevation difference thresholding for ICESat-2 photon-counting data. International Journal of Applied Earth Observation Geoinformation, 117, https://doi.org/10.1016/j.jag.2023.103207.
Wu, Z. Yao, F. Zhang, J. Ma, E. Yao, L. Dong, Z.
(2023). Genetic Programming Guided Mapping of Forest Canopy Height by Combining LiDAR Satellites with Sentinel-1/2, Terrain, Climate Data. Remote Sensing, 16 (1), https://doi.org/10.3390/rs16010110.
Wu, H. Li, J. Bao, A. Zhang, J. Ma, Y.
(2023). Retrieving water volume changes of shallow inland lakes with dense time-series Sentinel-2 ICESat-2 data. Acta Geodaetica et Cartographica Sinica, 52 (12),
Zhang, J. Li, H. Cai, X. Huang, H. Wang, L.
(2023). On the capacity of ICESat-2 laser altimetry for river level retrieval: an investigation in the Ohio River basin. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2023.130277.

2022

Leng, Z. Zhang, J. Ma, Y. Zhang, J. Zhu, H.
(2022). A novel bathymetry signal photon extraction algorithm for photon-counting LiDAR based on adaptive elliptical neighborhood. International Journal of Applied Earth Observation Geoinformation, 115, https://doi.org/10.1016/j.jag.2022.103080.
Leng, Z. Zhang, J. Ma, Y. Zhang, J. Zhu, H.
(2022). A novel bathymetry signal photon extraction algorithm for photon-counting LiDAR based on adaptive elliptical neighborhood. International Journal of Applied Earth Observation Geoinformation, 115, https://doi.org/10.1016/j.jag.2022.103080.
Ye, J. Qiang, Y. Zhang, R. Liu, X. Deng, Y. Zhang, J.
(2022). High-Precision Digital Surface Model Extraction from Satellite Stereo Images Fused with ICESat-2 Data. Remote Sensing,, 14 (1), https://doi.org/10.3390/rs14010142.

2021

Zhang, J. Tian, J. Li, X. Wang, L. Chen, B. Gong, H. Ni, R. Zhou, B. Yang, C.
(2021). Leaf area index retrieval with ICESat-2 photon counting LiDAR. International Journal of Applied Earth Observation and Geoinformation, 103, https://doi.org/10.1016/j.jag.2021.102488.

2020

Shen, X. Ke, C. Wang, Q. Zhang, J. Shi, L. Zhang, X.
(2020). Assessment of Arctic Sea Ice Thickness Estimates from ICESat-2 Using IceBird Measurements. IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2020.3022945.