DOI: 10.1016/j.jag.2016.06.022
Scopus记录号: 2-s2.0-84997830725
论文题名: Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data
作者: Amiri N ; , Yao W ; , Heurich M ; , Krzystek P ; , Skidmore A ; K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 252
结束页码: 262
语种: 英语
英文关键词: 3D segmentation
; Full waveform ALS
; Mean shift
; Regeneration
; Understory
Scopus关键词: airborne sensing
; algorithm
; segmentation
; temperate forest
; tree
; understory
; waveform analysis
英文摘要: Forest understory and regeneration are important factors in sustainable forest management. However, understanding their spatial distribution in multilayered forests requires accurate and continuously updated field data, which are difficult and time-consuming to obtain. Therefore, cost-efficient inventory methods are required, and airborne laser scanning (ALS) is a promising tool for obtaining such information. In this study, we examine a clustering-based 3D segmentation in combination with ALS data for regeneration coverage estimation in a multilayered temperate forest. The core of our method is a two-tiered segmentation of the 3D point clouds into segments associated with regeneration trees. First, small parts of trees (super-voxels) are constructed through mean shift clustering, a nonparametric procedure for finding the local maxima of a density function. In the second step, we form a graph based on the mean shift clusters and merge them into larger segments using the normalized cut algorithm. These segments are used to obtain regeneration coverage of the target plot. Results show that, based on validation data from field inventory and terrestrial laser scanning (TLS), our approach correctly estimates up to 70% of regeneration coverage across the plots with different properties, such as tree height and tree species. The proposed method is negatively impacted by the density of the overstory because of decreasing ground point density. In addition, the estimated coverage has a strong relationship with the overstory tree species composition. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80027
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geoinformatics, Munich University of Applied Sciences, Munich, Germany; Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede, Netherlands; Department of Conservation and Research, Bavarian Forest National Park, Grafenau, Germany
Recommended Citation:
Amiri N,, Yao W,, Heurich M,et al. Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52