Share Email Print

Proceedings Paper

Inversion of atmospheric optical parameters from elastic-backscatter lidar returns using a Kalman filter
Author(s): Francesc Rocadenbosch; Adolfo Comeron; Gregori Vazquez; Alejandro Rodriguez-Gomez; Cecilia Soriano; Jose M. Baldasano
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Up to now, retrieval of the atmospheric extinction and backscatter has mainly relied on standard straightforward non-memory procedures such as slope-method, exponential- curve fitting and Klett's method. Yet, their performance becomes ultimately limited by the inherent lack of adaptability as they only work with present returns and neither past estimations, nor the statistics of the signals or a prior uncertainties are taken into account. In this work, a first inversion of the backscatter and extinction- to-backscatter ratio from pulsed elastic-backscatter lidar returns is tackled by means of an extended Kalman filter (EKF), which overcomes these limitations. Thus, as long as different return signals income,the filter updates itself weighted by the unbalance between the a priori estimates of the optical parameters and the new ones based on a minimum variance criterion. Calibration errors or initialization uncertainties can be assimilated also. The study begins with the formulation of the inversion problem and an appropriate stochastic model. Based on extensive simulation and realistic conditions, it is shown that the EKF approach enables to retrieve the sought-after optical parameters as time-range-dependent functions and hence, to track the atmospheric evolution, its performance being only limited by the quality and availability of the 'a priori' information and the accuracy of the atmospheric model assumed. The study ends with an encouraging practical inversion of a live-scene measured with the Nd:YAG elastic-backscatter lidar station at our premises in Barcelona.

Paper Details

Date Published: 7 December 1998
PDF: 12 pages
Proc. SPIE 3494, Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II, (7 December 1998); doi: 10.1117/12.332423
Show Author Affiliations
Francesc Rocadenbosch, Univ. Politecnica de Catalunya (Spain)
Adolfo Comeron, Univ. Politecnica de Catalunya (Spain)
Gregori Vazquez, Univ. Politecnica de Catalunya (Spain)
Alejandro Rodriguez-Gomez, Univ. Politecnica de Catalunya (Spain)
Cecilia Soriano, Univ. Politecnica de Catalunya (Spain)
Jose M. Baldasano, Univ. Politecnica de Catalunya (Spain)

Published in SPIE Proceedings Vol. 3494:
Atmospheric Propagation, Adaptive Systems, and Lidar Techniques for Remote Sensing II
Adam D. Devir; Anton Kohle; Ulrich Schreiber; Christian Werner, Editor(s)

© SPIE. Terms of Use
Back to Top