Vladimir A. Kovalev, Cyle E. Wold, Jenny O. Newton, Wei Min Hao
Year Published:

Cataloging Information

Fire Effects
Management Approaches
Air Quality
Smoke & Air Quality
Fire & Smoke Models

NRFSN number: 7957
FRAMES RCS number: 4498
Record updated: November 14, 2017

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 signalstandard 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.


Kovalev, Vladimir A.; Wold, Cyle E.; Newton, J.O.; Hao, Wei Min. 2005. Simple algorithm to determine the near-edge smoke boundaries with scanning lidar. Applied Optics. 44(9): 1761-1768.

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