Review and Improvements of Existing Delimitations of Rural Areas in Europe

This report aims to improve current delimitations of rural areas in Europe as a support to statistical descriptions by introducing the criteria of peripherality/remoteness and ¿natural(non-artificial) area¿ in the Organisation for Economic Co-operation and Development (OECD) typology. In 1994, the OECD developed an easy concept to identify rural and urban areas based on the population density of a geographical unit. This scheme proved to be highly sensitive to the size of the geographical area and the classification of the thresholds. Over the years, endeavours have been made to review and improve the OECD approach and also alternative methodologies have been proposed. The current methods based solely on population distributions, do not allow for detailed and quantified geographical analysis and do not reflect two main characters differentiating rural from urban areas: the ¿natural¿ (non-artificial) surface and the accessibility/remoteness. In this study, a new rural typology has been developed by integrating the peripherality index and the land cover indicator in the OECD methodology. The analyses were carried out at Local Administrative Unit (LAU) 2 and NUTS3 level for 3 Member States (Belgium, France and Poland). The resulting rural typology classes for LAU2 are ¿rural-peripheral¿, ¿rural-accessible¿, ¿urban-open-space¿ and ¿urban-closed space¿. The typology at regional level (NUTS3) does not provide an accurate picture of the rurality. The methodology applied is flexible and the thresholds of accessibility or land cover implemented can easily be modified to fit-for-purpose. Simple queries were applied with standard procedures using Pan-European homogeneous datasets so as to allow to upscale for assessment at European level.JRC.H.5-Rural, water and ecosystem resource

Delimitations of Rural Areas in Europe Using Criteria of Population Density, Remoteness and Land Cover

This report aims to improve current delimitations of rural areas in Europe as a support to statistical descriptions by introducing the criteria of peripherality/remoteness and ¿natural (non-artificial) area¿ in the Organisation for Economic Co-operation and Development (OECD) typology. In 1994, the OECD developed an easy concept to identify rural and urban areas based on the population density of a geographical unit. This scheme proved to be highly sensitive to the size of the geographical area and the classification of the thresholds. Over the years, endeavours have been made to review and improve the OECD approach and also alternative methodologies have been proposed. The current methods based solely on population distributions, do not allow for detailed and quantified geographical analysis and do not reflect two main characters differentiating rural from urban areas: the ¿natural¿ (non-artificial) surface and the accessibility/remoteness. In this study, a new rural typology has been developed by integrating the peripherality index and the land cover indicator in the OECD methodology. The analyses were carried out at Local Administrative Unit (LAU 2) level for EU-27and then aggregated at NUTS3 and NUTS2.The methodology applied is flexible and the thresholds of accessibility or land cover implemented can easily be modified to fit-for-purpose.JRC.H.5-Rural, water and ecosystem resource

Conséquences de la saison 2021 sur le rendement quantitatif en viticulture wallonne

peer reviewedPassant de 150 ha (pour 36 exploitations) en 2018 à 300 ha (pour 64 exploitations) à la fin de 2021, la surface viticole wallonne (Belgique – figure 1.a) n’a cessé de croître ces dernières années. Cependant, en 2021, les vignobles wallons ont été fortement touchés par le mildiou (Plasmopara viticola) dû à des conditions météorologiques exceptionnellement humides et fraîches. Cette étude montre que les pertes quantitatives ont été hétérogènes entre les vignobles. Cette variabilité est expliquée principalement par le type de cépage, le mode de production et la gestion liée aux maladies

Quantification of intra-plot variability of vine water status using Sentinel-2: case study of two Belgian vineyards

editorial reviewe

UAS Thermal Infrared Data for Evapotranspiration Estimations with Sugar Beet

editorial reviewe

UAS Thermal Infrared Data for Evapotranspiration Estimations with Sugar Beet

editorial reviewe

The Land surface Carbon Constellation (LCC) project: Overview and first results

editorial reviewe

Unmanned aircraft systems (UAS) evapotranspiration estimates evaluated in comparison with TERENO eddy covariance measurements

editorial reviewe

Thermal Infrared Data for Evapotranspiration Estimations with Sugar Beet

editorial reviewe