DOI: 10.1016/j.jag.2013.06.003
Scopus记录号: 2-s2.0-84897886317
论文题名: Improving the efficiency and accuracy of individual tree crowndelineation from high-density LiDAR data
作者: Hu B ; , Li J ; , Jing L ; , Judah A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 145
结束页码: 155
语种: 英语
英文关键词: 3-D structures
; Individual tree crown (ITC) delineation
; Knowledge-based
; LiDAR
; Multi-scale
Scopus关键词: accuracy assessment
; canopy architecture
; deciduous forest
; forest canopy
; forest inventory
; lidar
; mixed forest
; three-dimensional modeling
; Canada
; Ontario [Canada]
英文摘要: Canopy height model (CHM) derived from LiDAR (Light Detection And Ranging) data has been commonlyused to generate segments of individual tree crowns for forest inventory and sustainable management. However, branches, tree crowns, and tree clusters usually have similar shapes and overlapping sizes,which cause current individual tree crown delineation methods to work less effectively on closed canopy,deciduous or mixedwood forests. In addition, the potential of 3-dimentional (3-D) LiDAR data is notfully realized by CHM-oriented methods. In this study, a framework was proposed to take advantageof the simplicity of a CHM-oriented method, detailed vertical structures of tree crowns representedin high-density LiDAR data, and any prior knowledge of tree crowns. The efficiency and accuracy of ITCdelineation can be improved. This framework consists of five steps: (1) determination of dominant crownsizes; (2) generation of initial tree segments using a multi-scale segmentation method; (3) identificationof "problematic" segments; (4) determination of the number of trees based on the 3-D LiDAR pointsin each of the identified segments; and (5) refinement of the "problematic" segments by splitting andmerging operations. The proposed framework was efficient, since the detailed examination of 3-D LiDARpoints was not applied to all initial segments, but only to those needed further evaluations based on priorknowledge. It was also demonstrated to be effective based on an experiment on natural forests in Ontario,Canada. The proposed framework and specific methods yielded crown maps having a good consistencywith manual and visual interpretation. The automated method correctly delineated about 74% and 72%of the tree crowns in two plots with mixedwood and deciduous trees, respectively. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79638
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Space Science and Engineering, York University, Toronto, ON, M3J 1P3, Canada; Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Recommended Citation:
Hu B,, Li J,, Jing L,et al. Improving the efficiency and accuracy of individual tree crowndelineation from high-density LiDAR data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)