Share Email Print

Journal of Applied Remote Sensing

Simple approach to improving the extraction of canopy metrics from airborne laser scanning data for tropical forests
Author(s): Zhengyang Hou; Qing Xu; Chao Zhang; Matti Maltamo; Timo Tokola
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

We aim to improve the predictive mapping of stem volume with airborne laser scanning (ALS) data acquired in Laos by adapting the area-based approach (ABA) to a tropical context. Separating laser returns of bushes from main stories with a cut-off threshold is a step very important to the ABA. The adaptation focused here on applying global and plot-adaptive cut-off thresholds to improve the extraction of canopy metrics. In order to select the optimal global cut-off threshold for removing understory bushes and ground objects, a sensitivity analysis of the modeling efficacy to the global cut-off threshold was conducted in the range from 0 to 5 m at 0.1-m intervals. To account for structural variation between plots, a simple plot-adaptive method was proposed for adjusting the threshold of each specific plot. The results showed that the optimal global cut-off threshold, which implicitly assumed the forest structure being homogeneous for all plots was 3.6 m. A model based on the plot-adaptive cut-off thresholds achieved better accuracy (RMSE 28%) than did the optimal global threshold-based model (RMSE 30%). It is concluded that the ALS-based canopy metrics extracted using the plot-adaptive method describe the structural heterogeneity of tropical forests adequately, whereas the global thresholding method is contingent on the forest structure being simple.

Paper Details

Date Published: 2 March 2016
PDF: 15 pages
J. Appl. Remote Sens. 10(1) 016019 doi: 10.1117/1.JRS.10.016019
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Zhengyang Hou, Univ. of Eastern Finland (Finland)
Qing Xu, Univ. of Illinois at Urbana-Champaign (United States)
Chao Zhang, East China Normal Univ. (China)
Matti Maltamo, Univ. of Eastern Finland (Finland)
Timo Tokola, Univ. of Eastern Finland (Finland)

© SPIE. Terms of Use
Back to Top