Simple algorithm to determine the near-edge smoke boundaries with scanning lidar.
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.
Kovalev
Vladimir A
VA
Fire Sciences Laboratory, Forest Service, U.S. Department of Agriculture, P.O. Box 8089, Missoula, Montana 59807, USA. vkovalev@fs.fed.us
Newton
Jenny
J
Wold
Cyle
C
Hao
Wei Min
WM