Title | ||
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Power budget and performance assessment for the RSLAB multispectral elastic/raman lidar system |
Abstract | ||
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The need of a multi-spectral lidar has widely been experienced in last few years with a view to invert the optical and microphysical properties of aerosols and their impact on the climate change. As a part of the EARLINET-GALION objectives, a joint effort has already been made by the European Aerosol Research Lidar Network (EARLINET). The EARLINET advanced standard of 3+2-channel configuration for lidar instruments (3+2 standing for 3 elastic channels and 2 respective Raman channels) enables retrieval of aerosol microphysical properties. An overview of the new RSLAB 3+2+1 multispectral lidar system, therefore, is presented in terms of power budget estimation for all the reception channels and overall system performance, that is, signal-to-noise ratio (SNR) and maximum sounding range achieved. |
Year | DOI | Venue |
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2012 | 10.1109/IGARSS.2012.6350415 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
aerosols,atmospheric light propagation,atmospheric techniques,climatology,optical radar,remote sensing by radar,EARLINET-GALION objective,European Aerosol Research Lidar Network,RSLAB 3+2+1 multispectral lidar system,RSLAB multispectral elastic lidar system,Raman lidar system,aerosol microphysical properties,climate change,maximum sounding range,performance assessment,power budget estimation,reception channel,signal-to-noise ratio performance,SNR estimation,elastic/Raman,lidar design,power link budget,remote sensing | Power budget,Meteorology,Depth sounding,Computer science,Remote sensing,Multispectral image,Aerosol,Communication channel,Lidar,Optical radar,Raman spectroscopy | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dhiraj Kumar | 1 | 14 | 1.87 |
Diego Lange Vega | 2 | 6 | 2.46 |
Francesc Rocadenbosch | 3 | 17 | 14.54 |
S. Tomàs | 4 | 9 | 4.89 |
Michaël Sicard | 5 | 11 | 8.44 |
Constantino Muñoz | 6 | 4 | 3.51 |
Adolfo Comerón | 7 | 2 | 3.91 |
Lange, D. | 8 | 15 | 4.81 |