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Living Earth:Implementing national standardised land cover classification systems for Earth Observation in support of sustainable development

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Big Earth Data 2021年第3期5卷 368-390页

作者： Christopher J.Owers Richard M.Lucas daniel clewley Carole Planque Suvarna Punalekar Belle Tissott Sean M.T.Chua Pete Bunting Norman Mueller Graciela Metternicht Department of Geography and Earth Sciences Aberystwyth UniversityAberystwythCeredigionWalesUK Centre for Geospatial Applications Plymouth Marine LaboratoryPlymouthDevonEnglandUK Geoscience Australia SymonstonACTAustralia Earth and Sustainability Science Research Centre School of BiologicalEarth and Environmental SciencesUniversity of New South WalesSydneyAustralia

Earth Observation(EO)has been recognised as a key data source for supporting the United Nations Sustainable Development Goals(SDGs).Advances in data availability and analytical capabilities have provided a wide range of users access to global coverage analysis-ready data(ARD).However,ARD does not provide the information required by national agencies tasked with coordinating the implementation of ***,standardised,scalable mapping of land cover and its change over time and space facilitates informed deci-sion making,providing cohesive methods for target setting and reporting of *** aim of this study was to implement a global framework for classifying land *** Food and Agriculture Organisation’s Land Cover Classification System(FAO LCCS)provides a global land cover taxonomy suitable to comprehensively support SDG target setting and *** present a fully implemented FAO LCCS optimised for EO data;Living Earth,an open-source software package that can be readily applied using existing national EO infrastructure and satellite *** resolve several semantic challenges of LCCS for consistent EO implementation,including modifications to environmental descriptors,inter-dependency within the mod-ular-hierarchical framework,and increased flexibility associated with limited data *** ensure easy adoption of Living Earth for SDG reporting,we identified key environmental descriptors to provide resource allocation recommendations for generating routinely retrieved input *** Earth provides an optimal platform for global adoption of EO4SDGs ensuring a transparent methodology that allows monitoring to be standardised for all countries.

关键词： Land cover FAO LCCS open data cube sustainable development goals environmental descriptors

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

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International Journal of Digital Earth 2022年第1期15卷 1715-1737页

作者： 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 School of Environmental and Life Sciences University of NewcastleCallaghanAustralia Department of Geography and Earth Sciences Aberystwyth UniversityAberystwythUK Commonwealth Scientific and Industrial Research Organisation Land and WaterCanberraAustralia Centre for Geospatial Applications Plymouth Marine LaboratoryPlymouthUK Geoscience Australia SymonstonAustralia Earth and Sustainability Science Research Centre University of New South WalesSydneyAustralia School of Science Western Sydney UniversityRichmondAustralia

To comprehensively support national and international initiatives for sustainable development,land cover products need to be reliably and routinely generated within operational *** 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 *** 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 *** Open Data Cube(ODC)initiative offers a framework for operational continental-scale land cover mapping using analysis-ready Earth Observation *** 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 *** Land Cover provides annual maps from 1988 to 2020 at 25 m *** 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.

关键词： DEA land cover digital earth Australia FAO LCCS landsat sustainable development goals

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