e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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:

Discover all records
Home page


Diversity of Settlement Categories in Very High Resolution SAR Images


In this paper we propose to identify the number of urban categories that can be retrieved from very high resolution TerraSAR-X data. For this task a semi-automated procedure was built in order to search in large Earth Observation database for similar sub-images (i.e. patches) and group them in the same semantic category. The dataset consists of 39 scenes over the world: 18 scenes in Asia, 15 scenes in Europe, 5 scenes in North and South America, and 1 scene in Africa. These scenes are grouped in three different types of collections (a total of 16 collections are generated) and the semantic categories in each collection are retrieved. A total of 320 categories are identified and those that contain man-made structures in the urban area are kept and the rest of categories (e.g., agriculture, water, etc.) are discarded. These categories represent between 50% and 65% from the total number of retrieved categories in each collection.

  • DE
  • Helmholtz_Assoc (DE)
Data keywords
  • semantic
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • semantics
  • sensors
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Helmholtz_Assoc (DE)
Powered by Lodex 8.20.3
logo commission europeenne
e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.