Discrimination of remnant tree species and regeneration stages in Queensland, Australia using hyperspectral imagery

Apan, Armando and Phinn, Stuart and Maraseni, Tek (2009) Discrimination of remnant tree species and regeneration stages in Queensland, Australia using hyperspectral imagery. In: WHISPERS 2009: Evolution in Remote Sensing, 26-28 Aug 2009, Grenoble, France.

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Abstract

This study assessed the utility of hyperspectral imagery in discriminating remnant tree species and stand regeneration stages in Southeast Queensland, Australia. Reflectance data of three species of woody vegetation (i.e. Eucalyptus populnea, Acacia pendula and Eucalyptus orgadophila), acquired using a HyMap™ airborne system, were analysed using partial least squares (PLS) regression. Three groups of E. orgadophila species, representing stand regeneration status, were also evaluated. For discriminating such tree species, the PLS results showed high prediction accuracy ranging from 83-88%. The most significant spectral bands span from the visible region (peak at 558nm and 689nm), near-infrared region (peak at 987nm), and shortwave infrared region (peak at 1788nm). Hyperspectral data was able to discriminate the old stand of E. orgadophila from the young stand, with a moderate accuracy of 72%. Results such as these confirmed the potential utility of hyperspectral data in vegetation mapping and stand characterisation.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher. ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User: Dr Armando Apan
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 20 Mar 2010 03:59
Last Modified: 11 Sep 2014 05:53
Uncontrolled Keywords: vegetation; species; regeneration; Australia; HyMap airborne system; Southeast Queensland; hyperspectral imagery; partial least squares regression; remnant tree species discrimination; vegetation mapping
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0705 Forestry Sciences > 070504 Forestry Management and Environment
10 Technology > 1002 Environmental Biotechnology > 100204 Environmental Biotechnology Diagnostics (incl. Biosensors)
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
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: 10.1109/WHISPERS.2009.5288981
URI: http://eprints.usq.edu.au/id/eprint/7097

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