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The difficult way towards Land cover and land use data harmonization across scales, space and time in Europe / Dominique Laurent (2019)
Titre : The difficult way towards Land cover and land use data harmonization across scales, space and time in Europe Type de document : Article/Communication Auteurs : Dominique Laurent , Auteur Editeur : Leibniz : Leibniz Institute of Ecological Urban and Regional Development Année de publication : 2019 Projets : TimeMachine / Gouet-Brunet, Valérie Conférence : ILUS 2019, 3rd International land use symposium, Land use changes: Trends and projections 04/12/2019 06/12/2019 Paris France programme sans actes Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] harmonisation des données
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] INSPIRE
[Termes IGN] métamodèle
[Termes IGN] occupation du sol
[Termes IGN] utilisation du sol
Mots-clés libres : Knowledge Exchange Network Résumé : (auteur) Describing land, through its physical properties and functional characteristics, to support decision from local to global level, in particular to observe land evolution through time, at a sustainable cost for society is a domain with many challenges and opportunities. This is the domain of land cover and land use data design which receives attention from a vast community, from raw data providers (satellite imagery, in situ data) to data curators and integrators as well as users. One of the first attempts to harmonize Land Cover and Land Use data has been the INSPIRE Directive (voted in 2007) that aims to provide the legal framework for achieving a European Spatial Data Infrastructure where the Commission could reuse national data used by members for their national policies. Among its Implementing Rules, interoperability is addressed through the definition of common data models for land cover and for land use information. INSPIRE being based on existing data, these models have been defined to be quite flexible. On the one hand, this European legal context and the new technical opportunities may push data producers to design new land cover and land use products, with for example more concern for European reusability of national products. On the other hand, land cover and land use data are often used to compute evolution indicators, which requires stable enough or at least comparable specifications; which rather push data providers to stick to former data specification. More recently, UN-GGIM: Europe (United Nations initiative on Global Geographic Information Management) has set up a Working Group on spatial data the most useful to analyze, achieve or monitor the Sustainable Development Goals, called core data. This group defines priorities for the production of new data or the enhancement of existing one. Land Cover and Land Use are identified as core data themes. The EuroGeographics INSPIRE KEN (Knowledge Exchange Network) and EuroSDR organised a workshop in November 2017 on this topic: how to make the most of available technologies (in terms of precision, accuracy and cost) as well as how to achieve products comparability and reusability across scales, space and time. Main conclusion was that quite diverse national practices must be accounted, though the concept of separating land cover and land use was widely adopted. Besides, attendees express the need to connect to new communities: deep learning to cope with big data, and communities studying the surveyed phenomena to integrate more domain knowledge in land cover and land use surveying process. Last, meta-models like EAGLE supporting the comparison of classifications were recognized as a key SDI component.
The presentation will remind why data harmonization is useful, it will provide an overview of what has been achieved and explain the remaining difficulties.
Numéro de notice : C2019-068 Affiliation des auteurs : IGN (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97023