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Proceedings Paper

Possibilities of IPDA spaceborne lidar and neural networks for measuring methane concentration
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Paper Abstract

The possibilities of retrieving the mean relative concentration of methane using pseudo-inverse matrices, fully connected and convolutional neural networks based on signals from the Earth received by a 450 km orbit space-based lidar are considered. It is shown that the random error of methane concentration retrieving for lidar with laser pulse energy of 9 mJ and repetition rate 20 Hz, receiving system size of 68 cm, resolution of 50-60 km is not higher than 30 ppb.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112082U (18 December 2019); doi: 10.1117/12.2538845
Show Author Affiliations
A. Ya. Sukhanov, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
G. G. Matvienko, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)


Published in SPIE Proceedings Vol. 11208:
25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii; Gennadii G. Matvienko, Editor(s)

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