The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
DEVELOPMENT OF A REAL-TIME URBAN REMOTE SENSING INITIATIVE IN THE MEDITERRANEAN REGION FOR EARLY WARNING AND MITIGATION OF DISASTERS
This project brings together a group of world class experts from research partner institutions in three countries: Turkey, Morocco and the USA, to plan and implement the North Atlantic Treaty Organization (NATO) Science for Peace sponsored Mediterranean Dialogue Earth Observatory (MDEO). The observatory comprises a network of real-time satellite remote sensing ground stations, to be established in Morocco. This investigation will also include a networked geostationary receiving station for the European Space Agency's Meteosat. The primary objective of the project is to facilitate early warning and mitigation of a wide range of biogenic and anthropogenic disasters. The project will also address mitigation of epidemics and epizootics, through identification and monitoring of infectious disease vector and reservoir habitat. Some examples of common concern among participating countries are flooding, storms, forest fires, climate change and its impacts, land use problems in agriculture, recent public health incidents, such as malaria, avian influenza, swine flu, as well as oil and hazardous chemical spills along the seashores . Archival and real-time remote sensing and generation of near-real-time spatial data products, utilizing high performance computing clusters [2, 3], are planned throughout the life cycle of disaster management, including vulnerability assessment, infrastructure safeguards, early warning, emergency response, humanitarian relief, as well as post-disaster damage assessment, reconstruction and societal recovery [4, 5].
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