Kovalev Vladimir A, Petkov Alexander, Wold Cyle, Urbanski Shawn, Min Hao Wei
United States Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, Montana 59808, USA.
Appl Opt. 2009 Oct 1;48(28):5287-94. doi: 10.1364/AO.48.005287.
The methodology of using mobile scanning lidar data for investigation of smoke plume rise and high-resolution smoke dispersion is considered. The methodology is based on the lidar-signal transformation proposed recently [Appl. Opt. 48, 2559 (2009)]. In this study, similar methodology is used to create the atmospheric heterogeneity height indicator (HHI), which shows all heights at which the smoke plume heterogeneity was detected by a scanning lidar. The methodology is simple and robust. Subtraction of the initial lidar signal offset from the measured lidar signal is not required. HHI examples derived from lidar scans obtained with the U.S. Forest Service, Fire Sciences Laboratory mobile lidar in areas polluted by wildfires are presented, and the basic details of the methodology are discussed.
本文考虑了利用移动扫描激光雷达数据研究烟羽上升和高分辨率烟雾扩散的方法。该方法基于最近提出的激光雷达信号变换[《应用光学》48, 2559 (2009)]。在本研究中，采用类似方法创建了大气非均匀性高度指标(HHI)，该指标显示了扫描激光雷达检测到烟羽非均匀性的所有高度。该方法简单且稳健。不需要从测量的激光雷达信号中减去初始激光雷达信号偏移量。给出了在美国林业局火灾科学实验室移动激光雷达在野火污染区域获得的激光雷达扫描数据中得到的HHI示例，并讨论了该方法的基本细节。
