https://doi.org/10.1051/epjconf/201611918002
Independent Retrieval of Aerosol Type From Lidar
1 National Institute of R&D for Optoelectronics, Romania,
2 University Politehnica of Bucharest, Faculty of Applied Sciences, Bucharest, Romania
* Email: nnicol@inoe.ro
Published online: 7 June 2016
This paper presents an algorithm for aerosol typing from multiwavelength lidar data, based on Artificial Neural Networks. The aerosol model used to simulate optical properties for the training of the network is described. The algorithm is tested on real observations from ESA-CALIPSO database.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
