Spectral discrimination of bulloak (Allocasuarina luehmannii) and associated woodland for habitat mapping of the endangered bulloak jewel butterfly (Hypochrysops piceata) in southern Queensland

Zainol Abdullah, Wan Nor Zanariah and Apan, Armando A. ORCID: https://orcid.org/0000-0002-5412-8881 and Maraseni, Tek N. and Le Brocque, Andrew F. (2014) Spectral discrimination of bulloak (Allocasuarina luehmannii) and associated woodland for habitat mapping of the endangered bulloak jewel butterfly (Hypochrysops piceata) in southern Queensland. Journal of Applied Remote Sensing, 8 (1). 083561-1. ISSN 1931-3195

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Abstract

The bulloak jewel butterfly (Hypochrysops piceata) is an endangered species due to a highly restricted distribution and complex life history, yet little is known of the availability of suitable habitat for future conservation. The aim of this study was to examine the potential of hyperspectral reflectance data for the discrimination of woodland species in support of bulloak jewel butterfly’s habitat mapping. Sites from known butterfly sightings in Leyburn, Southern Queensland, Australia, were examined using hyperspectral scanning and vegetation species discrimination.
Reflectance data of eight woodland vegetation species (Allocasuarina luehmannii, Eucalyptus crebra, Eucalyptus populnea, Callitris glauca, Corymbia maculata, Angophora leicarpa, Acacia sparsiflora, and Jacksonia scoparia) were collected at the leaf and canopy levels using a full-range (350 to 2500 nm) hand-held nonimaging spectroradiometer. Partial least square (PLS) regression was used to interpret the bulloak tree spectra against other vegetation species. The PLS results indicated high-prediction accuracies ranging from 78% to 95% and 52% to 5% for canopy and leaf levels, respectively. The highest spectral separability was observed at the near-infrared bands (approximately at 700 to 1355 nm), followed by selected ranges in the short-wave infrared band where separability peaked at 1670 and 2210 nm.
The results confirmed the feasible use of hyperspectral sensing for discriminating vegetation species and its potential use for habitat mapping of the endangered bulloak jewel butterfly.

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Item Type:	Article (Commonwealth Reporting Category C)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Copyright, the Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JRS.8.083561]
Faculty/School / Institute/Centre:	Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Faculty/School / Institute/Centre:	Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Date Deposited:	22 Oct 2014 11:34
Last Modified:	04 Jul 2016 23:01
Uncontrolled Keywords:	hyperspectral sensing; vegetation species discrimination; partial least square regression; bulloak jewel butterfly.
Fields of Research (2008):	09 Engineering > 0909 Geomatic Engineering > 090906 Surveying (incl. Hydrographic Surveying) 05 Environmental Sciences > 0501 Ecological Applications > 050199 Ecological Applications not elsewhere classified 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing 09 Engineering > 0909 Geomatic Engineering > 090999 Geomatic Engineering not elsewhere classified
Fields of Research (2020):	40 ENGINEERING > 4013 Geomatic engineering > 401306 Surveying (incl. hydrographic surveying) 41 ENVIRONMENTAL SCIENCES > 4102 Ecological applications > 410299 Ecological applications not elsewhere classified 40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing 40 ENGINEERING > 4013 Geomatic engineering > 401399 Geomatic engineering not elsewhere classified
Socio-Economic Objectives (2008):	D Environment > 96 Environment > 9608 Flora, Fauna and Biodiversity > 960899 Flora, Fauna and Biodiversity of Environments not elsewhere classified D Environment > 96 Environment > 9613 Remnant Vegetation and Protected Conservation Areas > 961399 Remnant Vegetation and Protected Conservation Areas not elsewhere classified D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified
Identification Number or DOI:	https://doi.org/10.1117/1.JRS.8.083561
URI:	http://eprints.usq.edu.au/id/eprint/25837

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