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.
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| 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. |
| Faculty / Department / School: | Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information |
| Date Deposited: | 21 Dec 2011 00:40 |
| Last Modified: | 26 Aug 2014 04:24 |
| Uncontrolled Keywords: | LiDAR; cool temperate rainforest; forest classification; forest structure;statistical analysis; Strzelecki Ranges |
| Fields of Research : | 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: | 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: | 10.1111/j.1475-4762.2011.01035.x |
| URI: | http://eprints.usq.edu.au/id/eprint/20269 |
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