期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2009
卷号：XXXVIII-3/W8
页码：147-151
出版社：Copernicus Publications
摘要：Airborne laser scanning (ALS)-based forest inventories are being increasingly used. The two main approaches in deriving forest information from small-footprint laser scanner data are the area-based and individual tree detection (ITD) methods. In the present study we test the accuracies of an area-based k-neares t neighbour (k-NN)-method and ITD with a practical low-pulse density (1.8/m 2 ) ALS dataset at the plot level. The research material consists of 333 treewise measured circular plots from southern Finland. A test dataset of 97 plots was selected for stand characteristic accuracy observation. The root-mean-squared errors (RMSEs) for basal area, total volume, mean height and mean diameter were with ITD 26.7%, 26.9%, 8.2% and 12.2% and with k- NN 23.1%, 23.7%, 12.4% and 14.8%, respectively. The results obtained in this study demonstrated that both ALS-based inventory methods are practical, even with low-pulse density data. A Combination method could be developed to utilize the strengths of both methods and should be further investigated
关键词：Forest inventory; Laser scanning; k-NN; Individual tree detection; Accuracy
