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
Monitoring East Asian migratory locust plagues using remote sensing data and field investigations
In recent years, the areas damaged by the East Asia migratory locust plagues (Locusta migratoria manilensis) have enlarged geographically in China. Some outbreaks in parts of the Dagang region, in the east coast of China, have caused drastic reductions in the yield of agricultural reeds and have created a severe threat to local and regional agriculture. Currently, the monitoring system for this species depends on field observations conducted by sparsely distributed observing stations established in the 1950s. This observation network was, in the past, successfully operated to identify major locust outbreaks. However, due to the expansion of infestation areas and the increase of locust density, spatial information technology was needed to establish a satellite sensor-based monitoring system for the East Asia migratory locust plagues. This Letter outlines the preliminary experimental work conducted in 2001 for a feasibility study in establishing a sensor-based locust monitoring system. In this experiment, sample statistics of biomass and leaf area index (LAI) from the affected and non-affected areas by locusts were calculated, and the spectra of field reed samples from both areas were also evaluated together with synchronous Landsat Enhanced. Thematic Mapper (ETM+) multi-spectral data. The study showed that satellite sensors may be used operationally to monitor locust damage.
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