DOI: 10.1016/j.jag.2014.01.012
Scopus记录号: 2-s2.0-84897495401
论文题名: Detection of windthrown trees using airborne laser scanning
作者: Nyström M ; , Holmgren J ; , Fransson J ; E ; S ; , Olsson H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 30, 期: 1 起始页码: 21
结束页码: 29
语种: 英语
英文关键词: Active surface
; ALS
; Downed logs
; LiDAR
; Storm damage
; Template matching
Scopus关键词: aerial photography
; algorithm
; boreal forest
; digital elevation model
; forest canopy
; lidar
; storm damage
; tree
; Sweden
英文摘要: In this study, a method has been developed for the detection of windthrown trees under a forest canopy, using the difference between two elevation models created from the same high density (65 points/m2) airborne laser scanning data. The difference image showing objects near the ground was created by subtracting a standard digital elevation model (DEM) from a more detailed DEM created using an active surface algorithm. Template matching was used to automatically detect windthrown trees in the difference image. The 54 ha study area is located in hemi-boreal forest in southern Sweden (Lat. 58°29' N, Long. 13°38' E) and is dominated by Norway spruce (Picea abies) with 3.5% deciduous species (mostly birch) and 1.7% Scots pine (Pinus sylvestris). The result was evaluated using 651 field measured windthrown trees. At individual tree level, the detection rate was 38% with a commission error of 36%. Much higher detection rates were obtained for taller trees; 89% of the trees taller than 27 m were detected. For pine the individual tree detection rate was 82%, most likely due to the more easily visible stem and lack of branches. When aggregating the results to 40 m square grid cells, at least one tree was detected in 77% of the grid cells which according to the field measurements contained one or more windthrown trees. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79730
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Forest Resource Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden
Recommended Citation:
Nyström M,, Holmgren J,, Fransson J,et al. Detection of windthrown trees using airborne laser scanning[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,30(1)