Affiliation:
1. Department of Geography, College of Geomatics, Xi’an University of Science and Technology , Xi’an , 710054 , China
2. Xi’an Institute of Geotechnical Investigation and Surveying Mapping , Xi’an , 710054 , China
Abstract
Abstract
The correct individual tree segmentation of the forest is necessary for extracting the additional information of trees, such as tree height, crown width, and other tree parameters. With the development of LiDAR technology, the research method of individual tree segmentation based on point cloud data has become a focus of the research community. In this work, the research area is located in an underground coal mine in Shenmu City, Shaanxi Province, China. Vegetation information with and without leaves in this coal mining area are obtained with airborne LiDAR to conduct the research. In this study, we propose hybrid clustering technique by combining DBSCAN and K-means for segmenting individual trees based on airborne LiDAR point cloud data. First, the point cloud data are processed for denoising and filtering. Then, the pre-processed data are projected to the XOY plane for DBSCAN clustering. The number and coordinates of clustering centers are obtained, which are used as an input for K-means clustering algorithm. Finally, the results of individual tree segmentation of the forest in the mining area are obtained. The simulation results and analysis show that the new method proposed in this paper outperforms other methods in forest segmentation in mining area. This provides effective technical support and data reference for the study of forest in mining areas.
Subject
General Earth and Planetary Sciences,Environmental Science (miscellaneous)
Reference32 articles.
1. Li BJ, Gu HH, Ji YZ. Evaluation of landscape pattern changes and ecological effects in land reclamation project of mining area. Trans CSAE. 2012;28(3):251–6. 10.3969/j.issn.1002-6819.2012.03.043.
2. Chen J, Jiskani IM, Jinliang C, Yan H. Evaluation and future framework of green mine construction in China based on the DPSIR model. Sustain Environ Res. 2020;30(1):1–10. 10.1186/s42834-020-00054-8.
3. Zhou Y, Zhou W, Lu X, Jiskani IM, Cai QX, Liu P, et al. Evaluation Index System of Green Surface Mining in China. Mining Metall Explor. 2020;37:1093–103. 10.1007/s42461-020-00236-3.
4. Jiskani IM, Cai QX, Zhou W, Shah SAA. Green and climate-smart mining: a framework to analyze open-pit mines for cleaner mineral production. Resour Policy. 2021;71:102007. 10.1016/j.resourpol.2021.102007.
5. Ma CG, Jiang W. How to protect the ecological environment in the green mine demonstration area. Resour Econ Environ Prot. 2020;227(10):47–8. 10.16317/j.cnki.12-1377/x2020.10.018.
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献