Applying the global standard FAO LCCS to map rural Queensland land cover

Perera, Kithsiri and Moore, David and Apan, Armando and McDougall, Kevin (2010) Applying the global standard FAO LCCS to map rural Queensland land cover. In: Queensland Surveying and Spatial Conference 2010 (QSSC 2010), 1-3 Sept 2010, Brisbane, Queensland.

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With the introduction of satellite images, land cover map production developed rapidly. However it faced a common challenge to adopt an internationally accepted classification scheme. Most of the classification schemes were tailored to match local demands without flexibility to apply in other parts of the world. Land cover mapping in Australia is also facing the same dilemma, 'the lack of standard classification system' to classify its massive land mass and compare internally and internationally. As a solution, in 2000, the Food and Agriculture Organization (FAO) produced a widely acceptable land cover classification system (FAO LCCS) which is based on priori (pre-decided) approach, to match with any region of the world. In this study we classified rural Queensland land cover, using the hierarchical and the priori method used by FAO LCCS. Under the priori approach, all classes are set before the classification, to maintain the standardization of categories. Then, a hierarchical dichotomous approach (divide into sub-categories) follows to achieve classes without having conflict between any two land cover types. We classified two rural Queensland regions, Hughenden grasslands and semi-arid Mt Isa. After classifying regions with level 1 to level 3 (FAO pre-set classes), classifiers based on spectral values and field investigations were implemented to build the level 4. Primarily, the classification used SPOT 10m data, other available information were utilized for the classification. Field investigation was carried out to verify uncertainties in spectral values and to collect ground information. Results of the study rendered well-classified two maps at 10m resolution for each area with over 80% overall accuracy. The most significant outcome of the study was the successful integration of FAO LCCS into local conditions of Queensland, which could serve as a guideline to map other regions in Queensland and other states of Australia.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions preventing deposit.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 18 Feb 2011 04:31
Last Modified: 27 Jun 2017 03:08
Uncontrolled Keywords: FAO LCCS; priori classification; dichotomous phase; modular-hierarchical phase; land cover classifiers; SPOT 10m data
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090901 Cartography
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
05 Environmental Sciences > 0502 Environmental Science and Management > 050205 Environmental Management
Socio-Economic Objective: D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified
D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified

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