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
Most land cover mapping initiatives have been biased towards cartographic quality and optimized data capture. Interoperability of the resulting data has proven difficult due to the semantic complexity embedded in the classification and methodology of each initiative. This paper introduces the tegon concept to model land cover as a real world phenomenon. A tegon is a horizontally homogeneous, physical spatial object with a spatial dimension and a specific life cycle, typically covering one to several square meters, characterized by the presence and structure of one or more vertical land cover strata. Tegons are in fact the elementary physical components behind any existing mapping unit or legend class. The concept is defined, modeled and illustrated through a series of large scale examples from an agricultural context. Analysis of the proposed model shows how the concept can be very useful for demarcating the land cover Universe of Discourse and for many ongoing harmonisation efforts in this domain.
Inappropriate format for Document type, expected simple value but got array, please use list format