Kovalev V, Petkov A, Wold C, Urbanski S, Hao W M
Appl Opt. 2015 Mar 10;54(8):2011-7. doi: 10.1364/AO.54.002011.
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.
对激光雷达数据处理技术进行了分析，这些技术可用于确定烟羽高度及其动态变化，有助于改进烟雾扩散和空气质量模型。本文所考虑的数据处理算法基于对与烟雾扩散过程相关的两个替代特征的分析：直接从记录的激光雷达信号中提取的正则化截距函数，以及在确定并减去记录信号中的恒定偏移量后获得的平方距离校正后向散射信号。使用在规定火灾区域获得的扫描激光雷达实验数据进行了分析。
