7 research outputs found

    Study on employment in rural areas

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    This report is a response to a request by the 2003 Agriculture Council, for a review of rural employment, particularly in relation to young people and women, in order to assess thecontribution of the reformed Common Agricultural Policy (CAP) and the new Rural Development Regulation (RDR) towards meeting the employment objectives agreed at the 2000 Lisbon Council (70% employment rate overall and 60% female employment rate by 2010).2. This immediate policy context, together with the 2004 enlargement, are set against a background of more gradual, but nonetheless far-reaching, changes in the role of agriculture, demographic and social changes, and the realignment of the rural economy.3. The objectives set for the report are therefore both empirical, - to set out a clear, comprehensive and up-to date picture of the European rural labour market, - and evaluative, - by addressing the fundamental issue of the extent to which these trends, are likely to help (or hinder) the EU meet itsLisbon employment objectives. A specific policy dimension is added by the requirement to investigate the role which the reformed CAP (Pillar 1 and Pillar 2) is likely to take in this proces

    Study on employment in rural areas

    Get PDF
    This report is a response to a request by the 2003 Agriculture Council, for a review of rural employment, particularly in relation to young people and women, in order to assess thecontribution of the reformed Common Agricultural Policy (CAP) and the new Rural Development Regulation (RDR) towards meeting the employment objectives agreed at the 2000 Lisbon Council (70% employment rate overall and 60% female employment rate by 2010).2. This immediate policy context, together with the 2004 enlargement, are set against a background of more gradual, but nonetheless far-reaching, changes in the role of agriculture, demographic and social changes, and the realignment of the rural economy.3. The objectives set for the report are therefore both empirical, - to set out a clear, comprehensive and up-to date picture of the European rural labour market, - and evaluative, - by addressing the fundamental issue of the extent to which these trends, are likely to help (or hinder) the EU meet itsLisbon employment objectives. A specific policy dimension is added by the requirement to investigate the role which the reformed CAP (Pillar 1 and Pillar 2) is likely to take in this proces

    Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data

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    This research addresses the use of dual-polarimetric descriptors for automatic large-scale ship detection and characterization from synthetic aperture radar (SAR) data. Ship detection is usually performed independently on each polarization channel and the detection results are merged subsequently. In this study, we propose to make use of the complex coherence between the two polarization channels of Sentinel-1 and to perform vessel detection in this domain. Therefore, an automatic algorithm, based on the dual-polarization coherence, and applicable to entire large scale SAR scenes in a timely manner, is developed. Automatic identification system (AIS) data are used for an extensive and also large scale cross-comparison with the SAR-based detections. The comparative assessment allows us to evaluate the added-value of the dual-polarization complex coherence, with respect to SAR intensity images in ship detection, as well as the SAR detection performances depending on a vessel’s size. The proposed methodology is justified statistically and tested on Sentinel-1 data acquired over two different and contrasting, in terms of traffic conditions, areas: the English Channel the and Pacific coastline of Mexico. The results indicate a very high SAR detection rate, i.e., >80%, for vessels larger than 60 m and a decrease of detection rate up to 40 % for smaller size vessels. In addition, the analysis highlights many SAR detections without corresponding AIS positions, indicating the complementarity of SAR with respect to cooperative sources for detecting dark vessels
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