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Related Experiment Video

Updated: Jul 3, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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Published on: October 16, 2018

Lidar system model for use with path obscurants and experimental validation.

J W Giles¹, I N Bankman, R M Sova

¹The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland 20723, USA. john.giles@jhuapl.edu

|August 2, 2008

Summary

A new analytical model predicts how aerosols affect lidar pulses, crucial for designing reliable lidar systems. This model accounts for scattering and attenuation, improving instrument performance in challenging environments.

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Area of Science:

Optics and Photonics
Atmospheric Science
Remote Sensing

Background:

Lidar system performance is significantly impacted by aerosol scattering and attenuation.
Designing lidar transmitters and receivers requires accounting for adverse aerosol conditions.
Existing models may not fully capture the complex interactions of lidar pulses with aerosols.

Purpose of the Study:

To develop an analytical model for lidar system operation in aerosol-laden environments.
To support the design, simulation, and evaluation of lidar instruments.
To provide a tool for predicting received lidar pulse characteristics.

Main Methods:

Characterized aerosols using Mie theory to derive attenuation and backscatter coefficients.
Incorporated lidar system parameters and instrument response function into the model.
Validated the model experimentally using military fog oil smoke at short ranges.

Main Results:

The model accurately predicts time-resolved received lidar pulses in the presence of aerosols.
Experimental validation showed a high goodness of fit (coefficient of determination 0.88–0.99).
The model is applicable to optical paths with solid or non-solid backscatter objects.

Conclusions:

The developed analytical model is effective for predicting lidar pulse behavior in aerosol conditions.
This model aids in the robust design and evaluation of lidar systems for various applications.
Accurate modeling is essential for ensuring lidar system performance in environments with high aerosol concentrations.