Standardizing Australian semi-urban land cover mapping through FAO land cover classification system

Perera, Kithsiri and Moore, David and Apan, Armando and McDougall, Kevin (2011) Standardizing Australian semi-urban land cover mapping through FAO land cover classification system. In: Surveying and Spatial Sciences Biennial International Conference (SSSC 2011): Innovation in Action: Working Smarter , 21-25 Nov 2011, Wellington, New Zealand.

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The application of satellite images for land cover mapping in Australia has achieved formidable developments in recent years as a result of increased data availability and improvements in software/hardware. However, the lack of standardization in land cover products creates considerable difficulty when integrating these land cover maps. To address this issue, this study investigated FAO's land cover classification system (LCCS) to map the Brisbane and Gold Coast region, as representatives of the Australian urban landscape. The surface diversification of this region in Southeast Queensland offers a reasonable land cover profile that could be used to explain most of populated Australian coastal regions. SPOT 10m satellite data supported by extensive field investigations and 2.5m very high resolution SPOT data were utilized for the classification. The SLATS 2001-2003 (State-wide Land cover and Trees Study) data were also used in identifying training sites and for preparing legend categories. Initially, SPOT 10m Image was classified into three levels (dichotomous phase) of the FAO LCCS and then spectral features, field investigations, and SLATS data were used to generate 4th level (Modular-Hierarchical phase) land cover categories. Results generated a very satisfactory land cover map with 15 sub-categories at 10m resolution compare to existing land cover products of SEQ. The hierarchical FAO classification approach used in this study produced a land cover map which can be used with national and global level land cover products based on FAO LCCS. The future research steps are laying on investigating mapping rural and arid regions of Australia to combine into the national data set.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. This work is licensed under a Creative Commons Attribution 3.0 New Zealand License.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 12 Apr 2012 00:24
Last Modified: 16 Feb 2015 01:27
Uncontrolled Keywords: FAO LCCS; urban land cover; SPOT; a priori classification; dichotomous approach; southeast Queensland
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
12 Built Environment and Design > 1205 Urban and Regional Planning > 120504 Land Use and Environmental Planning
04 Earth Sciences > 0499 Other Earth Sciences > 049999 Earth Sciences not elsewhere classified
Socio-Economic Objective: D Environment > 96 Environment > 9609 Land and Water Management > 960911 Urban and Industrial Land Management

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