Operational continental-scale land cover mapping of Australia using the Open Data Cube

Autor: Christopher J. Owers, Richard M. Lucas, Daniel Clewley, Belle Tissott, Sean M. T. Chua, Gabrielle Hunt, Norman Mueller, Carole Planque, Suvarna M. Punalekar, Pete Bunting, Peter Tan, Graciela Metternicht
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Digital Earth, Vol 15, Iss 1, Pp 1715-1737 (2022)
Druh dokumentu: article
ISSN: 1753-8947
1753-8955
17538947
DOI: 10.1080/17538947.2022.2130461
Popis: 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.
Databáze: Directory of Open Access Journals
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