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1 October 2008 Lidar detection of temporal and spatial anomalies of multiple clouds
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Abstract
An algorithm using N-way analysis for the detection of multiple clouds in multi-wavelength lidar data is presented. Nway analysis is a tool for algebraic manipulation of N-dimensional (ND) data arrays, and it allows for spatial (range), temporal (time), and spectral (wavelength) information to be extracted simultaneously from 3D lidar data. The algorithm tracks the spectral signal strength and location of each of the multiple clouds through time within the lidar measurements via a method that is shown to be similar to multivariate anomaly detection. The method is data driven and can be applied to arrays of any number of dimensions (e.g., polarization as the 4th dimension). Results of the algorithm for CO2 lidar simulations of aerosol clouds are shown and discussed.
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Charles E. Davidson and Avishai Ben-David "Lidar detection of temporal and spatial anomalies of multiple clouds", Proc. SPIE 7111, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IV, 71110H (1 October 2008); https://doi.org/10.1117/12.799512
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