Estimation of tropical forest tree diameter at breast height from airborne LiDAR metrics
Issue Date
2015
Abstract
LiDAR is limited to getting the height of forest canopies. This paper describes methods and results to estimate the average diameter at breast height (DBH) by regressing parameters that were derived from airborne LIDAR. Specifically it aims to estimate the DBH of trees at the study area using derivative metrics from airborne LiDAR data. The study site is at Molawin-Dampalit, a two-hectare plot managed by Makiling Center for Mountain Ecosystems, Los Baños, Laguna. The plot was divided to 20m, 10m and 5m subplots or grids. The field DBH data and coordinates were also obtained. Linear and log-linear regression models were developed depending on these grid sizes to estimate the average DBH per grid. After applying data transformation to improve each model, all three grid sizes showed promising results in estimating DBH. Linear regression analysis showed an r2 of 0.72, 0.83, 0.70 for 20 × 20m, 10 × 10m, 5 × 5m grids, respectively. For the loglinear, 10 × 10m grid showed the highest r2 of 0.67 followed by 20 × 20m (r2=0.56) and 5 × 5m grid (r2=0.05). The method poses a compliment alternative to forest inventory plots as a means of assessing forest conditions.
Source or Periodical Title
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings
Page
1-11
Document Type
Conference Paper
Physical Description
maps, illustrations, tables, graphs
Language
English
Subject
Biomass, GIS, Regression analysis, Remote sensing, Tree metrics
Recommended Citation
Argamosa, R.J.L., Paringit, E.C., Zaragosa, G.P., Bantayan, N.C., Ibañez, C.A.G., Faelga, R.A.G., Posilero, M.A.V., Dimayacyac, N.A., Gonzalvo, K.J. (2015). Estimation of tropical forest tree diameter at breast height from airborne LiDAR metrics. ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings, p. 1-11.
Digital Copy
yes