DOI: 10.1016/j.jag.2016.06.003
Scopus记录号: 2-s2.0-84997787351
论文题名: Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests
作者: Wu B ; , Yu B ; , Wu Q ; , Huang Y ; , Chen Z ; , Wu J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 82
结束页码: 94
语种: 英语
英文关键词: Contour tree
; Graph theory
; Hierarchical structure
; Individual tree crown
; LiDAR
; Segmentation
Scopus关键词: accuracy assessment
; canopy architecture
; coniferous forest
; contour map
; hierarchical system
; image resolution
; lidar
; segmentation
; topographic mapping
; Cascade Range
; Medicine Bow National Forest
; United States
; Wyoming
英文摘要: Individual tree crown delineation is of great importance for forest inventory and management. The increasing availability of high-resolution airborne light detection and ranging (LiDAR) data makes it possible to delineate the crown structure of individual trees and deduce their geometric properties with high accuracy. In this study, we developed an automated segmentation method that is able to fully utilize high-resolution LiDAR data for detecting, extracting, and characterizing individual tree crowns with a multitude of geometric and topological properties. The proposed approach captures topological structure of forest and quantifies topological relationships of tree crowns by using a graph theory-based localized contour tree method, and finally segments individual tree crowns by analogy of recognizing hills from a topographic map. This approach consists of five key technical components: (1) derivation of canopy height model from airborne LiDAR data; (2) generation of contours based on the canopy height model; (3) extraction of hierarchical structures of tree crowns using the localized contour tree method; (4) delineation of individual tree crowns by segmenting hierarchical crown structure; and (5) calculation of geometric and topological properties of individual trees. We applied our new method to the Medicine Bow National Forest in the southwest of Laramie, Wyoming and the HJ Andrews Experimental Forest in the central portion of the Cascade Range of Oregon, U.S. The results reveal that the overall accuracy of individual tree crown delineation for the two study areas achieved 94.21% and 75.07%, respectively. Our method holds great potential for segmenting individual tree crowns under various forest conditions. Furthermore, the geometric and topological attributes derived from our method provide comprehensive and essential information for forest management. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80041
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China; School of Geographic Sciences, East China Normal University, Shanghai, China; Department of Geography, Binghamton University, State University of New York, Binghamton, NY, United States
Recommended Citation:
Wu B,, Yu B,, Wu Q,et al. Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52