International cooperation and technology transfer

Fras, Mojca Kosmatin

Bibliographic data

Monograph

Persistent identifier:: 856490555

Author:: Fras, Mojca Kosmatin

Title:: International cooperation and technology transfer

Sub title:: Ljubljana, Slovenia, February 2 - 5, 2000 : proceedings of the workshop

Scope:: VI, 163 Seiten

Year of publication:: 2000

Place of publication:: London

Publisher of the original:: RICS Books

Identifier (digital):: 856490555

Illustration:: Illustrationen, Diagramme

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: ISPRS Meeting of WG VI/3 and WG IV/3 in Ljubljana (SLOVENIA), 2-5 February 2000 CONTRIBUTION TO HARMONISED LAND USE STATISTICS IN EUROPE. Willibald CROI, Christophe DUHAMEL, Gerd EIDEN, Maxime KAYADJANIAN

Document type:: Monograph

Structure type:: Chapter

in MS Access. In 1998 it has been decided to enlarge the scope of the meta database to regional systems and to the accession countries. In addition to that, meta data on information systems on landscapes will also be introduced. For that purpose the database structure will need to be reviewed and improved. Access for the wider public via the Internet will be subject of discussion with Eurostat that is the owner of the database. 2.2 Methodological studies Studies on statistical methodology contribute to the evolution and the development of the European statistical system. In this respect, statistical methods for the use of new tools in statistics, such as remote sensing and geographic information system, and for harmonisation of data from the Member States regarding land use information are subjects of studies. 2.2.1 The Statistical framework for Remote Sensing Applications in Statistics The use of remote sensing imagery as a source of geographic and statistical information requires adopting a work programme that respects a coherent statistical scheme. The following components are required: a statistical nomenclature of land cover and use, clear guidelines and specifications for fields of observation, units of observation, methods of observation and methods of classification. CESD LU has developed such a framework for the account of Eurostat. This framework served in pilot projects as part of the technical Terms of Reference for the contractors carrying out these projects. It includes a pilot nomenclature entitled CLUSTERS (Classification for Land Use STatistics - Eurostat Remote Sensing programme). The nomenclature respects the principles of thematic coherence (one class of the classification system corresponds to one type of land use and one type of land use can only be put into a single class, no mixed classes), consistency of scale (the user must be able to aggregate or desegregate results according to the required analysis - work on different scales / restitution units), spatial coherence (compatibility over all the area of interest) and consistency over time (taking stocks, not flows to enable change detection over time). 2.2.2 Study on a reference land use classification In the framework of this study, carried out for the account of the FAO, the concepts and the existing approaches of land use information systems have been described followed by a preliminary design of a reference land use classification system containing land use classes defined by the combination of a set of independent diagnostic attributes, so-called classifiers. The study recommends to develop a complete land use classification based on the functional approach (socio-economic purpose) and to complete the already established 'Land Cover Classification System' of the FAO (mapping land cover based on EO data) with a sampling approach on land use. 2.2.3 Indicators on Landscape fragmentation in Europe The potential and the limitations of the existing data may be analysed best through the use of the data. The study, carried out in the framework of a collaboration between Eurostat, DG AGRI and the DG JRC and the EEA, exploits the only existing geographic land cover / land use database covering (nearly) all Europe, the CORINE Land Cover database, for the calculation of fragmentation indices to analyse the structure of landscapes in Europe. Among the different technical points discussed (definition, comparison and use of indexes) the experiment raises the problem of the choice of the restitution units and its effect on results (NUTS regions, ‘natural’ landscape units like ‘Naturraume’ in Germany) while a solution based on a regular moving window grid is tested. Beyond the results, limitations of CORINE Land Cover data are stressed and particularly those concerning the definition of the nomenclature (mixed classes due to both, the size of the minimum mapping unit and the existence of intrinsically mixed areas on the earth surface) and the temporal heterogeneity of the satellite images used to build the database. Because of their impacts on results, it appears as obvious that the definition and the elaboration of a homogeneous and coherent database at European level are of importance. 2.3 Pilot projects Pilot project activities involving the application of earth observation data for statistical purposes help to demonstrate the potential of this type of information source but also its limitations. CESD LU managed pilot projects for the account of Eurostat, national statistical services and local authorities that means users of the data. The technical work was carried out in most cases by the private sector. The subjects of the projects varied from purposes in agriculture or urban statistics to regional planning and environmental monitoring. The following map provides an overview of the project sites. The applications for different purposes were always based on the retrieval of land cover and land use information using satellite imagery and other existing data (such as Digital Terrain Models, digital maps e.g. on infrastructure, land use planning etc.) according to the statistical framework mentioned

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