Vladimir A. Kovalev, Alexander P. Petkov, Cyle E. Wold, Shawn P. Urbanski, Wei Min Hao
Year Published:

Cataloging Information

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

NRFSN number: 13611
FRAMES RCS number: 21124
Record updated: November 14, 2017

Lidar-data processing techniques are analyzed, which allow determining smoke-plume heights and their dynamics and can be helpful for the improvement of smoke dispersion and air quality models. The data processing algorithms considered in the paper are based on the analysis of two alternative characteristics related to the smoke dispersion process: the regularized intercept function, extracted directly from the recorded lidar signal, and the square-range corrected backscatter signal, obtained after determining and subtracting the constant offset in the recorded signal. The analysis is performed using experimental data of the scanning lidar obtained in the area of prescribed fires.


Kovalev, V.; Petkov, A.; Wold, C.; Urbanski, S.; Hao, W. M. 2015. Determination of the smoke-plume heights and their dynamics with ground-based scanning LIDAR. Applied Optics. 54(8): 2011-2017

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