Publications | ICESat-2

Displaying Items 1 - 8 of 8

2024

He, J. , Xu, Y. , Sun, H. , Jiang, Q. , Yang, L. , Kong, W. , Liu, Y.
(2024). Sea Surface Height Wavenumber Spectrum from Airborne Interferometric Radar Altimeter. Remote Sensing, 16 (8), https://doi.org/10.3390/rs16081359.
Liu, Y. , Zhou, Y. , Yang, X.
(2024). Bathymetry derivation slope-assisted benthic mapping using optical satellite imagery in combination with ICESat-2. International Journal of Applied Earth Observation Geoinformation, 127, https://doi.org/10.1016/j.jag.2024.103700.
Ye, B. , Qiu, H. , Tang, B. , Liu, Y. , Liu, Z. , Jiang, X. , Yang, D. , Ullah, M. , Zhu, Y. , Kamp, U.
(2024). Creep deformation monitoring of landslides in a reservoir area. Journal of Hydrology, 632, https://doi.org/10.1016/j.jhydrol.2024.130905.

2023

Ding, H. , Liu, J. , Yang, S. , Luo, J. , Liu, Y. , Liang, X. , , etal.
(2023). Performance assessment of global open-access digital elevation models in China mainland coastal region. Earth Surface Processes Landforms, https://doi.org/10.1002/esp.5677.
Huang, Y. , Yang, H. , Tang, S. , Liu, Y. , Liu, Y.
(2023). An Appraisal of Atmospheric Correction Inversion Algorithms for Mapping High-Resolution Bathymetry over Coral Reef Waters. IEEE Transactions on Geoscience Remote Sensing, https://doi.org/10.1109/TGRS.2023.3271632.
Huang, Y. , Yang, H. , Tang, S. , Liu, Y. , Liu, Y.
(2023). An Appraisal of Atmospheric Correction Inversion Algorithms for Mapping High-Resolution Bathymetry over Coral Reef Waters. IEEE Transactions on Geoscience Remote Sensing, https://doi.org/10.1109/TGRS.2023.3271632.
Huang, G. , Dong, Z. , Liu, Y. , Chen, Y. , Li, J. , Wang, Y. , Meng, W.
(2023). An optimized denoising method for ICESat-2 photon-counting data considering heterogeneous density weak connectivity. Optics Express, 31 (25), https://doi.org/10.1364/OE.502934.
Liu, Y. , , etal.
(2023). Mapping Ultrahigh-Spatial-Resolution Bathymetry for a Wide Range of Coastal Optically Shallow Waters Without In Situ Bathymetric Data. IEEE Transactions on Geoscience Remote Sensing, 61, https://doi.org/10.1109/TGRS.2023.3315316.