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Simulation on Different Patterns of Mobile Laser Scanning with Extended Application on Solar Beam Illumination for Forest Plot

文献类型： 外文期刊

作者： Jiang, Kang 1 ; Chen, Liang 1 ; Wang, Xiangjun 3 ; An, Feng 3 ; Zhang, Huaiqing 4 ; Yun, Ting 1 ;

作者机构： 1.Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Peoples R China

2.Nanjing Forestry Univ, Forestry Coll, Nanjing 210037, Peoples R China

3.Chinese Acad Trop Agr Sci, Minist Agr, Rubber Res Inst, Danzhou Invest & Expt Stn Trop Crops, Danzhou 571737, Peoples R China

4.Chinese Acad Forestry, Res Inst Forestry Resource Informat Tech, Beijing 100091, Peoples R China

关键词： computer simulation; forest plot modeling; airborne laser scanning; ground-based mobile laser scanning; point cloud acquisition; light model

期刊名称：FORESTS （ 影响因子：3.282； 五年影响因子：3.292 ）

ISSN：

年卷期： 2022 年 13 卷 12 期

页码：

收录情况： SCI

摘要： Light detection and ranging (LiDAR) technology has become a mainstream tool for forest surveys, significantly contributing to the improved accuracy of forest inventories. However, the accuracy of the scanned data and tree properties derived using LiDAR technology may differ depending on the occlusion effect, scanning configurations, various scanning patterns, and vegetative characteristics of forest plots. Hence, this paper presents a computer simulation program to build a digital forest plot composed of many tree models constructed based on in situ measurement information and two mobile scanning patterns, i.e., airborne laser scanning (ALS) and ground-based mobile laser scanning (MLS). Through the adjustment of scanning parameters and the velocity of vehicle loading LiDAR sensors, the points scanned using two scanning patterns were compared with the original sampling points, derived from the constructed digital forest plots. The results show that only 2% of sampling points were collected by LiDAR sensors with the fastest vehicle speed (10 m/s) and coarsest scanning angular resolution (horizontal angular resolution 0.16 degrees and vertical angular resolution 1.33 degrees), and approximately 50% of sampling points were collected by LiDAR sensors with slow vehicle velocity (1.25 m/s) and a finer scanning angular resolution (horizontal angular resolution 0.08 degrees and vertical angular resolution 0.33 degrees). Meanwhile, the potential extended application of the proposed computer simulation program as a light model of forest plots was discussed to underpin the creation of the forest digital twin. Three main conclusions are drawn: (1) the collected points from airborne laser scanning (ALS) are higher than those collected from ground-based mobile laser scanning (MLS); (2) reducing the vehicle velocity is more efficient at improving the high density of the point cloud data than by increasing the scanning angular resolution; (3) the lateral extension of crown area increasing the light beams' receptor area and the clumped leaf dispersion augmenting the light penetration with vertical elongation are the two paramount factors influencing the light transmittance of tree crowns.

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