Estimating the Location of Individual Stem Using LiDAR Imagery

K. Kimura, Shitaro Goto
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Abstract

For REDD+ (Reduction of Emission from Deforestation and forest Degradation) and the Kyoto Protocol, the methodology for a wide range in a short time forest measurement, high-resolution measurement, LiDAR (Lightning Detection and Ranging) will be a powerful tool. In this study, the interpolation method, low-pass filtering, Local Maximum Filter method, and Watershed method were used to estimate the individual stem. Following the comparison of the estimation result of individual stem using LiDAR vs the measured values, the result of accuracy evaluation is 93%.
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利用激光雷达图像估计单个茎的位置
对于REDD+(减少毁林和森林退化造成的排放)和京都议定书,在短时间内进行大范围森林测量的方法、高分辨率测量、激光雷达(闪电探测和测距)将是一个强大的工具。在本研究中,采用插值法、低通滤波法、局部最大值滤波法和分水岭法对单个茎进行估计。将激光雷达对单个茎的估计结果与实测值进行比较,精度评价结果为93%。
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