OLA: Ocean Environment Study Using Lidar and AI
Welcome to the OLA Team. Our team is dedicated to the 3D observation of the seawater environment through the application of cutting-edge Lidar and artificial intelligence technologies. By integrating lidar RTE model simulations, remote sensing data from Lidar, and in-situ surveys, we aim to gain an in-depth understanding of the dynamic changes within the oceanic water body and their extensive impacts on ecosystems and human activities.
After years of diligent work, our team has developed a suite of oceanic Lidar simulator, inversion software, and satellite-borne oceanic Lidar-derived environment dataset. We warmly invite researchers and professionals interested in this field to join us in the exploration and application of these data. Through our collaborative efforts, we look forward to further tapping into the potential of these data to foster the continuous development and innovation in the field of marine environmental research.
We are also actively seeking passionate new postdoctoral researchers, as well as doctoral and master's students to join our team!
LIDAR DATA +more
PUBLICATIONS +MORE
CoDES
OLE (Ocenic Lidar Emulator):
Zhang, Zhenhua, Peng Chen*, Cédric Jamet, Davide Dionisi, Yongxiang Hu, Xiaomei Lu, and Delu Pan. "Retrieving Bbp and Poc from Caliop: A Deep Neural Network Approach." Remote Sensing of Environment 287 (2023/03/15/ 2023): 113482. https://doi.org/10.1016/j.rse.2023.113482.
Chen, Peng*, Cédric Jamet, Zhenhua Zhang, Yan He, Zhihua Mao, Delu Pan, Tianyu Wang, Dong Liu, and Dapeng Yuan. "Vertical Distribution of Subsurface Phytoplankton Layer in South China Sea Using Airborne Lidar." Remote Sensing of Environment 263 (2021/09/15/ 2021): 112567. https://doi.org/10.1016/j.rse.2021.112567.
Zhang, Siqi, Peng Chen*, Yongxiang Hu, Zhenhua Zhang, Cédric Jamet, Xiaomei Lu, Davide Dionisi, and Delu Pan. "Diurnal Global Ocean Surface Pco2 and Air–Sea Co2 Flux Reconstructed from Spaceborne Lidar Data." PNAS Nexus 3, no. 1 (2024): pgad432. Accessed 5/15/2024. https://dx.doi.org/10.1093/pnasnexus/pgad432.
Zhang, Zhenhua, Siqi Zhang, Michael J. Behrenfeld, Peng Chen*, Cédric Jamet, Paolo Di Girolamo, Davide Dionisi, Yongxiang Hu, Xiaomei Lu, Yuliang Pan, Minzhe Luo, Haiqing Huang, and Delu Pan. "Combining Deep Learning with Physical Parameters in Poc and Pic Inversion from Spaceborne Lidar Caliop." ISPRS Journal of Photogrammetry and Remote Sensing 212 (2024/06/01/ 2024): 193-211. https://doi.org/10.1016/j.isprsjprs.2024.05.007.
Xie, C., P. Chen*, C. Jamet, and D. Pan. "New Reference Bathymetric Point Cloud Datasets Derived from Icesat-2 Observations: A Case in the Caribbean Sea." IEEE Transactions on Geoscience and Remote Sensing 62 (2024): 1-24. https://dx.doi.org/10.1109/TGRS.2023.3341796.
Related articles
Wu, D., P. Chen*, W. Kong, and D. Pan. "A Novel Semi-Analytical Method for Modeling Polarized Oceanic Profiling Lidar Multiple Scattering Signals." IEEE Transactions on Geoscience and Remote Sensing 62 (2024): 1-17. https://dx.doi.org/10.1109/TGRS.2024.3369099.
Chen, P.*, C. Jamet, Z. Mao, and D. Pan. "OLE: A Novel Oceanic Lidar Emulator." IEEE Transactions on Geoscience and Remote Sensing 59, no. 11 (2021): 9730-44. https://dx.doi.org/10.1109/TGRS.2020.3035381.
Zhang, Zhenhua, Peng Chen*, and Zhihua Mao. "Sols: An Open-Source Spaceborne Oceanic Lidar Simulator." Remote Sensing 14, no. 8 (2022): 1849. https://www.mdpi.com/2072-4292/14/8/1849.
Wu, D., P. Chen*, W. Kong, and D. Pan. "A Novel Semi-Analytical Method for Modeling Polarized Oceanic Profiling Lidar Multiple Scattering Signals." IEEE Transactions on Geoscience and Remote Sensing 62 (2024): 1-17. https://dx.doi.org/10.1109/TGRS.2024.3369099.
Chen, P.*, C. Jamet, and D. Liu. "Lidar Remote Sensing for Vertical Distribution of Seawater Optical Properties and Chlorophyll-a from the East China Sea to the South China Sea." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1-21. https://dx.doi.org/10.1109/TGRS.2022.3174230.
Chen, P.*, C. Jamet, Z. Mao, and D. Pan. "OLE: A Novel Oceanic Lidar Emulator." IEEE Transactions on Geoscience and Remote Sensing 59, no. 11 (2021): 9730-44. https://dx.doi.org/10.1109/TGRS.2020.3035381.
