DOI: 10.1016/j.foreco.2014.05.011
Scopus记录号: 2-s2.0-84901505386
论文题名: Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data
作者: Tompalski P. ; Coops N.C. ; White J.C. ; Wulder M.A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 327 起始页码: 167
结束页码: 177
语种: 英语
英文关键词: ALS
; Forest inventory
; Individual tree volume
; LiDAR
; Remote sensing
; Species composition
Scopus关键词: Aerial photography
; Errors
; Information management
; Laser applications
; Optical radar
; Photographic equipment
; Remote sensing
; Surface analysis
; Remote sensing
; ALS
; Comprehensive information
; Forest inventory
; Forest structural attributes
; Individual tree
; Species composition
; Sustainable forest management
; Very high spatial resolutions
; Airborne Laser scanning
; Forestry
; Optical radar
; aerial photography
; allometry
; community composition
; data set
; error analysis
; forest inventory
; forest management
; forest resource
; height determination
; laser
; lidar
; stand structure
; volume
; airborne sensing
; digital image
; photogrammetry
; simulation
; spatial resolution
; sustainable development
; Air Craft
; Forestry
; Photography
; Radar
; Remote Sensing
; British Columbia
; Canada
英文摘要: A key requirement of sustainable forest management is accurate, timely, and comprehensive information on forest resources, which is provided through forest inventories. In Canada, forest inventories are conventionally undertaken through the delineation and interpretation of forest stands using aerial photography, supported by data from permanent and temporary sample plots. In recent years, Airborne Laser Scanning (ALS) data have been shown to provide accurate estimates of a range of forest structural attributes. As a result, ALS has emerged as an increasingly common data source for enhanced forest inventory programs. Capture of species compositional information with ALS, based upon the nature of the data, is less reliable than structural variables, with species information typically derived from spectral or textural interpretation of aerial photography or very high spatial resolution digital imagery. Utilizing national allometric equations for the major species found in British Columbia, Canada, and a series of individual tree-level simulations, we analyzed (i) how incorrect species identification can influence individual tree volume prediction; (ii) which of the possible species substitutions result in higher volume errors; (iii) how the error in height that is typical for photogrammetry-based and ALS-based forest inventories impacts individual tree volume estimates; and (iv) the impact of combined errors in both species composition and height on overall individual tree volume estimates. Our results indicate that species information is important for volume calculations, and that the use of generic (i.e. all species) or cover-type allometric equations can lead to large errors in volume estimates. We also found that, even with a 50% error in species composition (whereby incorrect species-specific equations are substituted), volume estimates derived from species-specific allometric equations were more accurate than estimates derived from generic or cover-type equations. Our findings indicate that errors in species composition have less impact on individual tree volume estimates than errors in height measurement. The implications of these results are that, with very accurate estimates of height provided by ALS and knowledge of what dominant species is expected in a stand, accurate estimates of volume can be generated in the absence of more detailed species composition information. © 2014 . Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65888
Appears in Collections: 影响、适应和脆弱性
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作者单位: Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, BC V8Z 1M5, Canada
Recommended Citation:
Tompalski P.,Coops N.C.,White J.C.,et al. Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data[J]. Forest Ecology and Management,2014-01-01,327