Simple algorithm to determine the near-edge smoke boundaries with scanning lidar

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ID: 274389
2005
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Abstract
We propose a modified algorithm for the gradient method to determine the near-edge smoke plume boundaries using backscatter signals of a scanning lidar. The running derivative of the ratio of the signal standard deviation (STD) to the accumulated sum of the STD is calculated, and the location of the global maximum of this function is found. No empirical criteria are required to determine smoke boundaries; thus the algorithm can be used without a priori selection of threshold values. The modified gradient method is not sensitive to the signal random noise at the far end of the lidar measurement range. Experimental data obtained with the Fire Sciences Laboratory lidar during routine prescribed fires in Montana were used to test the algorithm. Analysis results are presented that demonstrate the robustness of this algorithm.
Reference Key
wold2005appliedsimple Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Cyle Wold;Jenny Newton;Vladimir A. Kovalev;Wei Min Hao;Vladimir A. Kovalev;Jenny Newton;Cyle Wold;Wei Min Hao;
Journal Applied optics
Year 2005
DOI
doi:10.1364/AO.44.001761
URL
https://doi.org/10.1364/ao.44.001761
Keywords
lidar diffusion backscattering algorithms visibility scattering

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