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 02017
Number of page(s) 3
Section Lidar Measurements of Clouds and Aerosol
DOI https://doi.org/10.1051/epjconf/202636202017
Published online 09 April 2026
  1. Martino, A.J., Neumann, T.A., Kurtz, N.T. and McLennan, D., 2019, October. ICESat-2 mission overview and early performance. In Sensors, systems, and next-generation satellites XXIII (Vol. 11151, pp. 68–77). SPIE. [Google Scholar]
  2. Winker, D.M., Vaughan, M.A., Omar, A., Hu, Y., Powell, K.A., Liu, Z., Hunt, W.H. and Young, S.A., 2009. Overview of the CALIPSO mission and CALIOP data processing algorithms. Journal of Atmospheric and Oceanic Technology, 26(11), pp.2310–2323. [Google Scholar]
  3. Yorks, J. E., M. J. McGill, S.P. Palm, D. L. Hlavka, P.A. Selmer, E. Nowottnick, M. AVaughan, S. Rodier, and W. D. Hart (2016), An Overview of the CATS Level 1 Data Products and Processing Algorithms, Geophys. Res. Let., 43, doi:10.1002/2016GL068006. [Google Scholar]
  4. Yorks, J.E.; Selmer, P.A.; Kupchock, A.; Nowottnick, E.P.; Christian, K.E.; Rusinek, D.; Dacic, N.; McGill, M.J. Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data. Atmosphere 2021, 12, 606. https://doi.org/10.3390/atmos12050606. [Google Scholar]
  5. Zhang, K.; Zuo, W.; Chen,Y.; Meng, D.; Zhang, L. Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising. IEEE Transactions on Image Processing, 26(7):3142–3155, 2017. [CrossRef] [Google Scholar]
  6. Jia, F.; Wong, W. H.; Zeng, T. DDUNet: Dense Dense U-Net with Applications in Image Denoising. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Montreal, BC, Canada, 2021, pp. 354–364, doi:10.1109/ICCVW54120.2021.00044. [Google Scholar]
  7. McGill, M., Hlavka, D., Hart, W., Scott, V.S., Spinhirne, J. and Schmid, B., 2002. Cloud physics lidar: Instrument description and initial measurement results. Applied Optics, 41(18), pp.3725–3734. [Google Scholar]
  8. Nowottnick, E.P., et al. (2022), A Simulation Capability Developed for NASA GSFC’s Spaceborne Backscatter Lidars: Overview and Projected Performance for the Upcoming AOS Mission, Proceedings of the 30th International Laser Radar Conference, Springer, https://doi.org/10.1007/978-3-031-37818-8. [Google Scholar]
  9. Palm, S.P., Selmer, P., Yorks, J., Nicholls, S. and Nowottnick, E., 2021. Planetary boundary layer height estimates from ICESat-2 and CATS backscatter measurements. Frontiers in Remote Sensing, 2, p.716951. [Google Scholar]

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