Open Access
Issue
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
Article Number 01028
Number of page(s) 4
Section Joint CLRC/ILRC Session: New Lidar Technologies and Methods
DOI https://doi.org/10.1051/epjconf/202636201028
Published online 09 April 2026
  1. C. Talianu, “New algorithm for the retrieval of aerosol’s optical parameters by LIDAR data inversion,” SCEE, 11, 55–61 (2007). [Google Scholar]
  2. A. Ansmann, “Combined raman elastic-backscatter LIDAR for vertical profiling of moisture, aerosol extinction, backscatter, and LIDAR ratio,” Appl. Phys. B, 55, 18–28 (1992). [Google Scholar]
  3. J.D. Klett, “Stable analytical inversion solution for processing lidar returns.”, Appl. Optics, 20, 211–20, (1981) [Google Scholar]
  4. F.G. Fernald, “Analysis of atmospheric lidar observations: some comments”, Appl. Optics, 23, 652, (1984) [Google Scholar]
  5. C. Manolache, “Unsupervised deep learning models for aerosol layers segmentation”. In Proceedings of the 2022 14th International Conference on Communications (Institute of Electrical and Electronics Engineers, Bucharest, 2022), 1–6 [Google Scholar]
  6. M.J. McGill, “Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar”. Front. Remote Sens. 4, 1116817, (2023) [Google Scholar]
  7. D. Nicolae, “A neural network aerosol-typing algorithm based on lidar data”, ACP, 18, 14511–14537, (2018) [Google Scholar]
  8. J.E. Yorks, “Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data”. Atmosphere 12, 606, (2021) [Google Scholar]
  9. I. Pisso, “The Lagrangian particle dispersion model FLEXPART version 10.4”, GMD, 12, 4955–4997, (2019) [Google Scholar]
  10. M. Radenz, “Automated time–height-resolved air mass source attribution for profiling remote sensing applications”, ACP, 21, 3015–3033, (2021) [Google Scholar]

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