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Remote Sensing of Clouds and the Atmosphere X

DOI: 10.1117/12.627569

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Lidar performance prediction by dimensionless SNR-parametrization

Journal article published in 2005 by Ravil R. Agishev ORCID, Barry Gross, Adolfo Comeron ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

A general methodology for evaluating the capabilities of a general lidar system encompassing both backscatter (elastic and Raman lidar) and topographic targets is presented. By introducing a well defined atmospheric reference medium and by individually examining and decomposing the contribution of lidar system parameters including lidar transmitter power, fields of view, receiver noise, atmospheric conditions, and sky background on the signal-to-noise-ratio (SNR), we obtain a simple dimensionless parameterization of the lidar system. Using this parameterization, numerical simulations are carried out to determine achievable lidar performance including operation range, minimum detectable gas concentration etc.