Event submissions
Published
This submission belongs to the session S1. Remote sensing systems and techniques of the event The 5th International Electronic Conference on Remote Sensing
Published date
06 Jun, 2024
Academic Editor
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Alexander KokhanovskyCitation
Anatoli Chaikovsky, Andrey Bril, Vladislav Peshcherenkov, Natallia Miatselskaya, Aleksey Malinka, Mikhail Korol, Fiodar Asipenka, Philippe Goloub, Thierry Podvin, Luc Blarel, Gael Dubois, Aliaksandr Lapionak, Zhengqiang Li, Ying Zhang, Synergy of CALIOP and ground-based solar radiometer data to study statistical characteristics of aerosols in regions with a low aerosol load, in Proceedings of The 5th International Electronic Conference on Remote Sensing, 7 November–21 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ECRS2023-16860
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Synergy of CALIOP and ground-based solar radiometer data to study statistical characteristics of aerosols in regions with a low aerosol load
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Anatoli Chaikovsky 1
Andrey Bril 2
Philippe Goloub 3
Zhengqiang Li 4
Vladislav Peshcherenkov 5
Fiodar Asipenka 5
Luc Blarel 6
Gael Dubois 6
Mikhail Korol 7
Aliaksandr Lapionak 8
Aleksey Malinka 2
Natallia Miatselskaya 2
Thierry Podvin 6
Ying Zhang 9
1. Head of Centre "Optical Remote Sensing", Institute of Physics, National Academy of Sciences of Belarus, Belarus
2. Leading Researcher, Institute of Physics, National Academy of Sciences of Belarus, Belarus
3. Teacher-Researcher, LOA, Universite de Lille, Lille, France
4. Distinguished professor, Deputy Director State Environment Protection Key Laboratory of Satellite Remote Sensing, of Aerospace Information Research Institute of CAS, Beijing, China
5. Researcher, Institute of Physics, National Academy of Sciences of Belarus, Belarus
6. Engineer, LOA, Universite de Lille, Lille, France
7. Senior Researcher, Institute of Physics, National Academy of Sciences of Belarus, Belarus
8. Assistant engineer, LOA, Universite de Lille, Lille, France
9. Doctor of Philosophy, State Environment Protection Key Laboratory of Satellite Remote Sensing, of Aerospace Information Research Institute of CAS, Beijing, China
Abstract
Keywords
aerosol
ground-based and satellite remote sensing
CALIOP
AERONET
SONET