Owers, CJ, Lucas, RM, Clewley, D, Tissott, B, Chua, SMT, Hunt, G, Mueller, N, Planque, C, Punalekar, SM, Bunting, P, Tans, P and Metternicht, G 2022 Operational continental-scale land cover mapping of Australia using the Open Data Cube. International Journal of Digital Earth, 15 (1). 1715-1737. https://doi.org/10.1080/17538947.2022.2130461
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Abstract/Summary
To comprehensively support national and international initiatives for sustainable development, land cover products need to be reliably and routinely generated within operational frameworks. Coupled with consistent semantics and taxonomies, ensuring confidence in mapping land cover for multiple time periods, facilitates informed decision-making at scales appropriate to multiple policy domains. The United Nations Food and Agriculture Organisation (FAO) Land Cover Classification System (LCCS) provides a taxonomy that comparable at different scales, level of detail and geographic location. The Open Data Cube (ODC) initiative offers a framework for operational continental scale land cover mapping using analysis-ready Earth Observation data. This study utilised the FAO LCCS framework and the Landsat sensor data through Digital Earth Australia (DEA; Australia’s ODC instance) to generate consistent and continent-wide land cover mapping (DEA Land Cover) of the Australian continent. DEA Land Cover provides annual maps from 1988 to 2020 at 25 m resolution. Output maps were validated with ∼12,000 independent validation points, giving an overall map accuracy of 80%. DEA Land Cover provides Australia with a nationally consistent picture of land cover, with an open-source software package using readily available global coverage data and demonstrates a pathway of adoption for national implementations across the world
Item Type: | Publication - Article |
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Additional Keywords: | DEA land cover; digital earth Australia; FAO LCCS; landsat; sustainable development goals |
Divisions: | Plymouth Marine Laboratory > National Capability categories > NERC Earth Observation Data Acquisition & Analysis Service (NEODAAS) Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications |
Depositing User: | S Hawkins |
Date made live: | 26 Oct 2022 11:03 |
Last Modified: | 26 Oct 2022 11:03 |
URI: | https://plymsea.ac.uk/id/eprint/9816 |
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