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Research article - Peer-reviewed, 2010

Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods

Lindberg, Eva; Holmgren, Johan; Olofsson, Kenneth; Wallerman, Jörgen; Olsson, Håkan

Abstract

Individual tree crown segmentation from airborne laser scanning (ALS) data often fails to detect all trees depending on the forest structure. This paper presents a new method to produce tree lists consistent with unbiased estimates at area level. First, a tree list with height and diameter at breast height (DBH) was estimated from individual tree crown segmentation. Second, estimates at plot level were used to create a target distribution by using a k-nearest neighbour (k-NN) approach. The number of trees per field plot was rescaled with the estimated stem volume for the field plot. Finally, the initial tree list was calibrated using the estimated target distribution. The calibration improved the estimates of the distributions of tree height (error index (EI) from 109 to 96) and DBH (EI from 99 to 93) in the tree list. Thus, the new method could be used to estimate tree lists that are consistent with unbiased estimates from regression models at field plot level.

Keywords

Airborne laser scanning; Individual tree list; Area-based method; Unbiased

Published in

International Journal of Remote Sensing
2010, volume: 31, number: 5, pages: 1175-1192
Publisher: Taylor & Francis

Authors' information

Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management

Associated SLU-program

Remningstorp

UKÄ Subject classification

Forest Science

Publication Identifiers

DOI: https://doi.org/10.1080/01431160903380649

URI (permanent link to this page)

https://res.slu.se/id/publ/41006