Determination of the smoke-plume heights and their dynamics with ground-based scanning LIDAR

Vladimir Kovalev; Alex Petkov; Cyle E. Wold; Shawn P. Urbanski; WeiMin M. Hao

doi:10.1364/AO.54.002011

Treesearch

Determination of the smoke-plume heights and their dynamics with ground-based scanning LIDAR

Formally Refereed

Authors:

Vladimir Kovalev, Alex Petkov, Cyle E. Wold, Shawn P. Urbanski, WeiMin M. Hao

Year:

2015

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1364/AO.54.002011

Source:

Applied Optics. 54(8): 2011-2017.

Download (PDF 851 KB)

Download (PDF 851 KB): https://research.fs.usda.gov/download/treesearch/49674.pdf

Abstract

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.

Keywords

smoke-plume heights, ground-based scanning LIDAR, prescribed fires

Citation

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.