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Land Cover and Land Use Indicators: Review of available data

Author

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  • Vasco Diogo

    (Spatial Information Laboratory, Faculty of Economics and Business Administration)

  • Eric Koomen

    (Spatial Information Laboratory, Faculty of Economics and Business Administration)

Abstract

This paper identifies opportunities to refine OECD’s indicators of land cover and land use and their regular production for all OECD and G20 countries. A comprehensive review is conducted of the available datasets at the global, regional and national levels, including data derived from remote sensing as well as those complemented with administrative and survey data. The datasets are assessed in terms of their geographic coverage, periodicity, spatial resolution, data reliability and comparability. The paper discusses the potential use of such datasets for the production of indicators that are harmonised across countries and over time. It is found that data on land cover are widely available and that many OECD countries have good-quality national land cover datasets, in some cases consistently over time. However, considerable differences have been found among the land cover products reviewed in terms of their geographic coverage, spatial, temporal and thematic resolution. For eight countries, no country- or region-specific data could be found (including Israel, Korea, Colombia, Costa Rica, India, Indonesia, the Russian Federation and Saudi Arabia). On the other hand, data on land use seem to be much scarcer, available only for Australia, European countries, Japan and the United States. The paper concludes with a discussion of selection guidelines for, and examples of, potentially suitable datasets in terms of their geographic coverage and the temporal, spatial and thematic resolution. Ce rapport identifie les possibilités d’affiner les indicateurs de l’OCDE sur l’occupation et l’utilisation des terres, ainsi que leur production régulière pour tous les pays de l’OCDE et ceux du G20. Il propose un examen complet des ensembles de données disponibles au niveau mondial, régional et national, incluant les données de télédétection et les informations complétées par des données administratives et tirées d’enquêtes. Les sources de données sont évaluées par rapport à leur couverture géographique, périodicité, fiabilité et comparabilité de l’information. Le rapport étudie l’utilisation potentielle de ces ensembles de données pour produire des indicateurs harmonisés entre pays et dans le temps. On constate que les données sur la couverture du sol sont largement disponibles et que de nombreux pays de l’OCDE ont des données nationales de bonne qualité, parfois même consistantes dans le temps. Néanmoins, des différences importantes persistent parmi les produits de couverture du sol examinés, en particulier la couverture géographique, la résolution spatiale et thématique et la précision des données. Pour huit pays (Israël, la Corée, la Colombie, le Costa Rica, l’Inde, l’Indonésie, la Fédération de Russie et l’Arabie saoudite), aucune donnée nationale ou régionale n’a pu être trouvée. Les données sur l’utilisation des terres semblent en revanche bien plus rares et ne sont disponible que pour l’Australie, les pays européens, le Japon et les États-Unis. Ce rapport conclut avec une discussion sur les méthodes de sélection, ainsi que des exemples de sources de données potentiellement adéquates en termes de couverture géographique, de résolution temporelle, spatiale et thématique.

Suggested Citation

  • Vasco Diogo & Eric Koomen, 2016. "Land Cover and Land Use Indicators: Review of available data," OECD Green Growth Papers 2016/3, OECD Publishing.
  • Handle: RePEc:oec:envddd:2016/3-en
    DOI: 10.1787/5jlr2z86r5xw-en
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    Cited by:

    1. Onggarbek Alipbeki & Chaimgul Alipbekova & Arnold Sterenharz & Zhanat Toleubekova & Meirzhan Aliyev & Nursultan Mineyev & Kaiyrbek Amangaliyev, 2020. "A Spatiotemporal Assessment of Land Use and Land Cover Changes in Peri-Urban Areas: A Case Study of Arshaly District, Kazakhstan," Sustainability, MDPI, vol. 12(4), pages 1-15, February.

    More about this item

    Keywords

    données satellitaires; land cover; land use; occupation des terres; remote sensing; satellite data; télédétection; utilisation des terres;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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