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An Iterative Least Square Approach to Elastic-Lidar Retrievals for Well-Characterized Aerosols.
- Source :
-
IEEE Transactions on Geoscience & Remote Sensing . May2010, Vol. 48 Issue 5, p2430-2444. 15p. 2 Diagrams, 2 Charts, 5 Graphs. - Publication Year :
- 2010
-
Abstract
- An iterative least square method is presented for estimating the solution to the lidar equation. The method requires knowledge of the backscatter values at a boundary point for all channels and a priori defined relationships between backscatter, extinction, and mass-fraction concentration for all scattering components. The lidar equation is formulated in vector form, and a solution is computed using an iterative least square technique. The solution is stable for signals with extremely low signal-to-noise ratios and for signals at ranges far beyond the boundary point. The solution can be applied to lidar signals with an arbitrary number of wavelengths and scattering components. [ABSTRACT FROM AUTHOR]
- Subjects :
- *AEROSOLS
*EQUATIONS
*BACKSCATTERING
*SIGNAL-to-noise ratio
*WAVELENGTHS
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 48
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 49803781
- Full Text :
- https://doi.org/10.1109/TGRS.2009.2038903