Standardizing Australian semi-urban land cover mapping through FAO land cover classification system
Paper
Paper/Presentation Title | Standardizing Australian semi-urban land cover mapping through FAO land cover classification system |
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Presentation Type | Paper |
Authors | Perera, Kithsiri (Author), Moore, David (Author), Apan, Armando (Author) and McDougall, Kevin (Author) |
Editors | Hock, Barbara |
Journal or Proceedings Title | Proceedings of the Surveying and Spatial Sciences Biennial International Conference (SSSC 2011) |
ERA Conference ID | 60713 |
Number of Pages | 16 |
Year | 2011 |
Place of Publication | Rotorua, New Zealand |
ISBN | 9780478110421 |
Web Address (URL) of Paper | http://www.sssc2011.org/ |
Conference/Event | 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011) |
Surveying and Spatial Sciences Institute Biennial International Conference | |
Event Details | 2011 Surveying and Spatial Sciences Conference: Innovation in Action: Working Smarter (SSSC 2011) Event Date 21 to end of 25 Nov 2011 Event Location Wellington, New Zealand |
Event Details | Surveying and Spatial Sciences Institute Biennial International Conference |
Abstract | 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. |
Keywords | FAO LCCS; urban land cover; SPOT; a priori classification; dichotomous approach; southeast Queensland |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
330404. Land use and environmental planning | |
379999. Other earth sciences not elsewhere classified | |
Public Notes | 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. |
Byline Affiliations | Australian Centre for Sustainable Catchments |
Terranean Mapping, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1280/standardizing-australian-semi-urban-land-cover-mapping-through-fao-land-cover-classification-system
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