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Texture-based classification of sub-Antarctic vegetation communities on Heard Island


Murray, H and Lucieer, A and Williams, RN, Texture-based classification of sub-Antarctic vegetation communities on Heard Island , International Journal of Applied Earth Observation and Geoinformation, 12, (3) pp. 138-149. ISSN 1569-8432 (2010) [Refereed Article]

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DOI: doi:10.1016/j.jag.2010.01.006


This study was the first to use high-resolution IKONOS imagery to classify vegetation communities on sub-Antarctic Heard Island. We focused on the use of texture measures, in addition to standard multispectral information, to improve the classification of sub-Antarctic vegetation communities. Heard Island’s pristine and rapidly changing environment makes it a relevant and exciting location to study the regional effects of climate change. This study uses IKONOS imagery to provide automated, up-to-date, and non-invasive means to map vegetation as an important indicator for environmental change. Three classification techniques were compared: multispectral classification, texture based classification, and a combination of both. Texture features were calculated using the Grey Level Co-occurrence Matrix (GLCM). We investigated the effect of the texture window size on classification accuracy. The combined approach produced a higher accuracy than using multispectral bands alone. It was also found that the selection of GLCM texture features is critical. The highest accuracy (85%) was produced using all original spectral bands and three uncorrelated texture features. Incorporating texture improved classification accuracy by 6%.

Item Details

Item Type:Refereed Article
Keywords:Vegetation mapping; Multispectral classification; Grey level co-occurence matrix; Texture based classification; Sub-Antarctic Heard Island; IKONOS imagery
Research Division:Earth Sciences
Research Group:Physical geography and environmental geoscience
Research Field:Physical geography and environmental geoscience not elsewhere classified
Objective Division:Environmental Management
Objective Group:Coastal and estuarine systems and management
Objective Field:Assessment and management of coastal and estuarine ecosystems
UTAS Author:Lucieer, A (Professor Arko Lucieer)
UTAS Author:Williams, RN (Dr Ray Williams)
ID Code:60335
Year Published:2010
Web of Science® Times Cited:79
Deposited By:Geography and Environmental Studies
Deposited On:2010-02-01
Last Modified:2011-04-11
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