Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images
Open Access
- 25 November 2010
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 2 (12), 2665-2679
- https://doi.org/10.3390/rs2122665
Abstract
Climate change and rising temperatures have been observed to be related to the increase of forest insect damage in the boreal zone. The common pine sawfly (Diprion pini L.) (Hymenoptera, Diprionidae) is regarded as a significant threat to boreal pine forests. Defoliation by D. pini can cause severe growth loss and tree mortality in Scots pine (Pinus sylvestris L.) (Pinaceae). In this study, logistic LASSO regression, Random Forest (RF) and Most Similar Neighbor method (MSN) were investigated for predicting the defoliation level of individual Scots pines using the features derived from airborne laser scanning (ALS) data and aerial images. Classification accuracies from 83.7% (kappa 0.67) to 88.1% (kappa 0.76) were obtained depending on the method. The most accurate result was produced using RF with a combination of data from the two sensors, while the accuracies when using ALS and image features separately were 80.7% and 87.4%, respectively. Evidently, the combination of ALS and aerial images in detecting needle losses is capable of providing satisfactory estimates for individual trees.Keywords
This publication has 32 references indexed in Scilit:
- Stand edge effects on distribution and condition of Diprionid sawfliesAgricultural and Forest Entomology, 2006
- Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar dataCanadian Journal of Remote Sensing, 2006
- Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training dataISPRS Journal of Photogrammetry and Remote Sensing, 2005
- The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserveCanadian Journal of Forest Research, 2004
- Sawfly (Hym., Diprionidae) outbreaks on Scots pine: effect of stand structure, site quality and relative tree position on defoliation intensityForest Ecology and Management, 2004
- Assessing the impacts of global warming on forest pest dynamicsFrontiers in Ecology and the Environment, 2003
- Impact of sawfly defoliation on growth of Scots pine Pinus sylvestris (Pinaceae) and associated economic lossesBulletin of Entomological Research, 2002
- Ecological responses to recent climate changeNature, 2002
- Climate Change and Forest DisturbancesBioScience, 2001
- Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USARemote Sensing of Environment, 1998