资源与环境遥感团队学术论文在SCI二区期刊《Forests》上线发表

2024年07月13日，以刘嵩（云南师范大学地理学部地图学与地理信息系统专业2022级硕士生）为第一作者，云南师范大学地理学部王金亮教授为通讯作者，所撰写的题为 “Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting”的学术论文在SCI二区期刊《Forests》上线发表 (https:// doi.org/10.3390/f15071217).

精准的乔木提取对于精细的森林调查具有重要意义，然而天然林环境复杂，乔灌交错生长，灌木的存在会影响乔木信息的提取。目前已有的基于地基激光雷达的乔木点云提取存在精度低、普适性不强等问题，因此，本研究提出了一种拟合主干中轴的乔木点云提取方法。首先将点云数据按照冠层的高度分为上下两层。对等距切片后的下层点云数据采用DBSCAN聚类算法对每层切片进行聚类以拟合圆；然后识别不同主干的拟合圆，连接各主干圆的圆心形成主干中轴，随后以各类拟合圆的平均半径为阈值，以主干中轴为中心进行点云筛选，距离小于阈值的点为主干点云；最后将冠层点云与下层主干点云进行拼接，实现乔木的精准提取。研究以云南省香格里拉市的天然林和昆明市的森林样地为研究对象，验证所提方法的可行性。使用标准样本集数据进行验证乔木点云提取的精度。结果表明，两块样地的乔木点云提取均达到了99%以上的准确率。有效避免了由于树木生长弯曲导致的树干点云提取缺失的问题。本研究可为乔木参数提取提供一定的技术支持，为森林资源调查及高效森林管理决策提供科学指导。

Figure 1. Location map and point cloud data images for the two sample sites. (a) Location map; (b) 

Figure 2. Workflow of TAF method

Figure3. Final results of TAF method. (a) Sample site 1 TAF method results; (b) sample site 2 TAF method results.

该论文得到了王金亮教授主持的云南省重大科技专项计划（云南省西南联合研究生院科技专项-基础研究和应用基础研究重大项目）：“云南金沙江流域矿区植被多模态遥感动态监测及生态修复模式研究”（202302AO370003）；云南省科技人才与平台计划项目（202305AO350003）；国家自然科学基金项目(41961060)；云南省教育厅科研基金项目(2023Y0521)共同资助。

这是刘嵩同学硕士期间以第一作者发表的第1篇SCI学术论文（详见附录1、附录2），此篇论文也是王金亮教授导师团队2024年发表的第9篇SCIE/SSCI论文（详见附录3）。让我们恭喜刘嵩同学！希望她再接再厉！也热烈祝贺资源与环境遥感研究团队取好成绩！

附录 1 论文相关信息

标题：Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting

作者：Song Liu ^1,2,3, Yuncheng Deng ^1,2,3, Jianpeng Zhang ^1,2,3, Jinliang Wang ^1,2,3,4,* and Di Duan ^1,2,3,4

通讯作者：Jinliang Wang

作者单位：

¹ Faculty of Geography, Yunnan Normal University, Kunming 650500, China;

² Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China

³ Remote Sensing Research Laboratory, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China

⁴ Southwest United Graduate School, Kunming 650092, China

出版物：Forests

摘要：Accurate arbor extraction is an important element of forest surveys. However, the presence of shrubs can interfere with the extraction of arbors. Addressing the issues of low accuracy and weak generalizability in existing Terrestrial Laser Scanning (TLS) arbor point clouds extraction methods, this study proposes a trunk axis fitting (TAF) method for arbor extraction. After separating the point cloud data by upper and lower, slicing, clustering, fitting circles, obtaining the main central axis, filtering by distance, etc. The canopy point clouds are merged with the extracted trunk point clouds to precisely separate arbors and shrubs. The advantage of the TAF method proposed in this study is that it is not affected by point cloud density or the degree of trunk curvature. This study focuses on a natural forest plot in Shangri-La City, Yunnan Province, and a plantation plot in Kunming City, using manually extracted data from a standardized dataset of samples to test the accuracy of the TAF method and validate the feasibility of the proposed method. The results showed that the TAF method proposed in this study has high extraction accuracy. It can effectively avoid the problem of trunk point cloud loss caused by tree growth curvature. The experimental accuracy for both plots reached over 99%. This study can provide certain technical support for arbor parameter extraction and scientific guidance for forest resource investigation and forest management decision-making.

关键词：Terrestrial Laser Scanning; TAF method; DBSCAN clustering algorithm; trunk axis; arbor extraction

附录2 刘嵩同学发表论文清单

自 2022 年 9 月攻读硕士至今，刘嵩同学在王金亮教授指导下发表了 1 篇 SCIE 学术论文，信息如下：

[1] Liu, S.; Deng, Y.; Zhang, J.; Wang, J.*; Duan, D. Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting. Forests 2024, 15, 1217. https:// doi.org/10.3390/f15071217 (中科院SCI期刊分区：2023年12月最新分区二区，IF：2.4)

附录 3 王金亮教授团队 2024 年发表论文清单

自2024年01月01日至07月13日，王金亮教授导师团队发表学术论文9篇（仅仅统计王金亮教授为通讯作者的论文），其中SCIE论文8篇、SSCI论文1篇。具体信息如下：

[9] Liu, S.; Deng, Y.; Zhang, J.; Wang, J.*; Duan, D. Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting. Forests 2024, 15, 1217. https:// doi.org/10.3390/f15071217(中科院SCI期刊分区：2023年12月最新分区二区，IF：2.4)

[8] Jie Li, Jinliang Wang *, Suling He, Chenli Liu, Lanfang Liu, Using Knowledge Graphs to Analyze the Characteristics and Trends of Forest Carbon Storage Research at Global Scale[J] ISPRS International Journal of Geo-Information(ISPRS Int. J. Geo-Inf.)  2024, 13(7), 234; https://doi.org/10.3390/ijgi13070234(中科院SCI期刊分区：2023年12月最新分区三区，IF：2.8)

[7] Suling He, Jinliang Wang*, Jie Li, Jinming Sha, Jinzhun Zhou, Yuanmei Jiao, Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China, Land, 2024, 13(6): 812. https://doi.org/10.3390/land13060812. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF 3.9)

[6] Lanfang Liu, Yan Liu, Feng Cheng, Yuanhe Yu, Jinliang Wang*, Cheng Wang , Lanping Nong, Huan Deng, Remote sensing estimation of regional PM_2.5 Based on GTWR Model -A case study of southwest China, Environmental Pollution, 2024, 124057.https://doi.org/10.1016/j.envpol.2024.124057 (中科院 SCI期刊分区：2023年12月最新升级版二区Top期刊，2024 年 IF 8.9)

[5] Rafael Antonio Chaparro Torres, Jinliang Wang, Jianpeng Zhang, Lanfang Liu, Yongcui Lan, Temporal analysis of land degradation and urban expansion in central Yunnan Province using remote sensing for supporting sustainable development goals 11/15, Ecological Indicators, Volume 163, 2024, 112058, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2024.112058  (中科院 SCI 期刊分区：2023年12月最新升级版二区Top期刊，2024 年 IF 6.9)

[4] Gao, Y., Wang, J. *, Liu, S. *, Yao, X., Qi, M., Liang, P., Xie, F., Mu, J., Ma, X. Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing[J]. Science of The Total Environment, 2024, 172467. https://doi.org/10.1016/j.scitotenv.2024.172467 (中科院 SCI 期刊分区：2023年12月最新升级版一区Top期刊，2024 年 IF 9.8)

[3] Xu, Haichao, Rongqing Han, Jinliang Wang*, and Yongcui Lan.Temporal–Spatial Characteristics and Influencing Factors of Forest Fires in the Tropic of Cancer (Yunnan Section)[J]. Forests, 2024, 15, 661. https://doi.org/10.3390/f15040661 (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF 2.9)

[2] Yanke Zhang, Tengfei Gu, Suling He, Feng Cheng, Jinliang Wang*, et al. Extreme drought along the tropic of cancer (Yunnan section) and its impact on vegetation[J]. Scientific reports, 2024, 14, 7508. https://doi.org/10.1038/s41598-024-58068-w. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF4.6)

[1] Di Duan, Yuncheng Deng, Jianpeng Zhang, Jinliang Wang*, et al. Influence of VF and SOR-Filtering Methods on Tree Height Inversion Using Unmanned Aerial Vehicle LiDAR Data[J]. Drones, 2024, 8(4), 119. https://doi.org/10.3390/drones8040119. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF4.8)

（云南省高校资源与环境遥感重点实验室  供稿）