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Stable analytical inversion solution for processing lidar returns
Applied Optics
|March 24, 2010
Summary
This study introduces a new analytical method for extracting atmospheric backscatter and attenuation coefficients using lidar. The technique offers improved stability for analyzing inhomogeneous atmospheric conditions.
Area of Science:
- Atmospheric Science
- Optical Remote Sensing
- Lidar Technology
Background:
- Accurate retrieval of atmospheric properties like backscatter and attenuation is crucial for lidar applications.
- Existing analytical methods for lidar data inversion can be sensitive to signal noise and model assumptions.
- Inhomogeneous atmospheric conditions pose challenges for traditional lidar data analysis.
Purpose of the Study:
- To present a novel, simple analytical method for extracting atmospheric attenuation and backscatter coefficients.
- To address the limitations of existing methods in handling signal perturbations and atmospheric inhomogeneities.
- To demonstrate the potential of the new method for monostatic, single-wavelength lidar systems.
Main Methods:
- The method utilizes the single-scattering lidar equation.
- It assumes a power law relationship between backscatter and attenuation coefficients.
- The inversion technique can be applied using only the lidar signal for optical depths greater than unity.
Main Results:
- The proposed analytical solution is stable against perturbations in the lidar signal.
- The method demonstrates robustness concerning variations in the backscatter-attenuation relationship.
- It is also stable with respect to the assumed boundary value of attenuation.
Conclusions:
- The presented analytical method offers a stable approach for retrieving atmospheric optical properties from lidar data.
- This technique shows potential for improved analysis of inhomogeneous atmospheres.
- The method's stability makes it a promising tool for atmospheric remote sensing applications.
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