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Journal of Applied Remote Sensing • Open Access

Spectral discrimination of bulloak (<italic<Allocasuarina luehmannii</italic<) and associated woodland for habitat mapping of the endangered bulloak jewel butterfly (<italic<Hypochrysops piceata</italic<) in southern Queensland
Author(s): Wan Nor Zanariah Zainol Abdullah; Armando A. Apan; Tek N. Maraseni; Andrew F. Le Brocque

Paper Abstract

The bulloak jewel butterfly (<italic<Hypochrysops piceata</italic<) 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 (<italic<Allocasuarina luehmannii, Eucalyptus crebra, Eucalyptus populnea, Callitris glauca, Corymbia maculata, Angophora leicarpa, Acacia sparsiflora</italic<, and <italic<Jacksonia scoparia</italic<) 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.

Paper Details

Date Published: 25 August 2014
PDF: 16 pages
J. Appl. Remote Sens. 8(1) 083561 doi: 10.1117/1.JRS.8.083561
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Wan Nor Zanariah Zainol Abdullah, Univ. of Southern Queensland (Australia)
Univ. Putra Malaysia (Malaysia)
Armando A. Apan, Univ. of Southern Queensland (Australia)
Tek N. Maraseni, Univ. of Southern Queensland (Australia)
Andrew F. Le Brocque, Univ. of Southern Queensland (Australia)

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