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Dimensionless parameters for lidar performance characterization

Author
Comeron, A.; Agishev, R.
Type of activity
Presentation of work at congresses
Name of edition
Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII
Date of publication
2014
Presentation's date
2014-09-25
Book of congress proceedings
Remote sensing of clouds and the atmosphere XIX; and optics in atmospheric propagation and adaptive systems XVII: 22, and 24-25 September 2014: Amsterdam, Netherlands
First page
92420U-1
Last page
92420U-10
Publisher
SPIE
DOI
https://doi.org/10.1117/12.2068743 Open in new window
Project funding
Aerosols, Clouds and Trace Gases Research Infrastructure Network
Grup de Fotònica
LIDARES ELASTICO-RAMAN: Integracion,procesado de datos y explotacion
Observación lidar atmosférica multi-espectral, procesado de la señal y recuperación de productos de datos: red europea y cal/val de satélites
Participación Española en Charmex (The Chemistry-Aerosol Mediterranean Experiment)
Red sobre técnicas y tecnologías avanzadas de teledetección y modelización de aerosoles atmosféricos
Unmanned unattended LIDAR (radar laser) station
Repository
http://hdl.handle.net/2117/27729 Open in new window
URL
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1918510 Open in new window
Abstract
A set of three dimensionless parameters is proposed to characterize lidar systems. Two of them are based on an asymptotic approximation of the output signal-to-noise ratio as a function of the input optical power reaching the photoreceiver when there is no background radiation. Of these, one is defined as the ratio between the input signal power level coming from a reference range in a reference atmosphere (reference power level) and the input power level that would produce a reference output si...
Citation
Comeron, A.; Agishev, R. Dimensionless parameters for lidar performance characterization. A: Remote Sensing of Clouds and the Atmosphere; and Optics in Atmospheric Propagation and Adaptive Systems. "Remote sensing of clouds and the atmosphere XIX; and optics in atmospheric propagation and adaptive systems XVII: 22, and 24-25 September 2014: Amsterdam, Netherlands". Amsterdam: SPIE, 2014, p. 92420U-1-92420U-10.
Keywords
Lidar characterization, Lidar signal-to-noise-ratio, Photoreceiver
Group of research
RSLAB - Remote Sensing Lab

Participants