Cool temperate rainforest and adjacent forests classification using airborne LiDAR data

Zhang, Zhenyu and Liu, Xiaoye and Peterson, Jim and Wright, Wendy (2011) Cool temperate rainforest and adjacent forests classification using airborne LiDAR data. Area, 43 (4). pp. 438-448. ISSN 0004-0894

Abstract

The traditional methods of forest classification, based on the interpretation of aerial photographs and processing of multi-spectral and/or hyper-spectral remote sensing data are limited in their ability to capture the structural complexity of the forests compared with analysis of airborne LiDAR (light detection and ranging) data. This is because of LiDAR's penetration of forest canopies such that detailed and three-dimensional forest structure descriptions can be derived. This study applied airborne LiDAR data for the classification of cool temperate rainforest and adjacent forests in the Strzelecki Ranges, Victoria, Australia. Using normalised LiDAR point data, the forest vertical structure was stratified into three layers. Variables characterising the height distribution and density of forest components were derived from LiDAR data within each of these layers. The statistical analyses, which included one-way analysis of variance with post hoc tests, identified effective variables for forest-type classifications. The results showed that using linear discriminant analysis, an overall classification accuracy of 91.4% (as verified by the cross-validation) was achieved in the study area.


Statistics for USQ ePrint 20269
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: Dr Xiaoye Liu
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 21 Dec 2011 00:40
Last Modified: 03 Jul 2013 00:55
Uncontrolled Keywords: LiDAR; cool temperate rainforest; forest classification; forest structure;statistical analysis; Strzelecki Ranges
Fields of Research (FOR2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0907 Environmental Engineering > 090703 Environmental Technologies
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9613 Remnant Vegetation and Protected Conservation Areas > 961306 Remnant Vegetation and Protected Conservation Areas in Forest and Woodlands Environments
Identification Number or DOI: doi: 10.1111/j.1475-4762.2011.01035.x
URI: http://eprints.usq.edu.au/id/eprint/20269

Actions (login required)

View Item Archive Repository Staff Only