Within GEOEssential, ENEON became more focused on the essential component of the in-situ measurements and networks, evolving thus to a convenient platform to analyse the presence of Essential Variables in GEO and their role in the monitoring of SDGs.
Following this attempt, the ENEON graph (and the knowledge base behind) was enriched with the information of the Essential Variables provided by the networks and the SDG indicators directly or indirectly related to the variables (http://www.eneon.org/graph-ev-sdg/index.htm).
This allowed achieving a higher degree of complexity and allowing more sophisticated analysis to the knowledge base such as to know which EVs are more redundant than others, or which ones are more connected to others, etc. This was possible thanks to a special json query website (http://www.eneon.org/graph-vis/index.htm).
Updated version of the graph on European EO networks incorporating the relation among SDGs indicators, EVs and the EO networks providing content on them. Elaborated under ERA-PLANET GEOEssential H2020 project: http://www.eneon.org/graph-ev-sdg/index.htm.
There's a version of the graph which includes queries to the database: http://www.eneon.org/graph-vis/index.htm
The results of this analysis have been published in the GEOEssential deliverables D4.1 EVs for Biodiversity and Ecosystems, and D2.3 EVs Gap analysis.
Results are also available in the International Journal of Digital Earth paper (Special Issue: Towards integrated Essential Variables for Environmental Sustainability):
Masó J., Serral I., Domingo-Marimon C. & Zabala A. (2020) Earth observations for Sustainable Development Goals monitoring based on Essential Variables and Driver-Pressure-State-Impact-Response indicators, International Journal of Digital Earth, 13:2, 217-235, DOI: 10.1080/17538947.2019.1576787
Abstract
In recent years, researchers of different communities have increased their efforts in formalizing a set of measurements regularly collected for analysing changes in Drivers, States, Impacts and Responses of a given discipline. In some cases, different actors have converged in a minimum set of Essential Variables (EVs), such as for Climate, Biodiversity or Oceans. The definition of such EVs is an ongoing evolution and in extension (e.g. EVs for water) although some communities have not even started (e.g. agriculture and energy). This paper characterizes the Earth Observation (EO) networks and creates a graph representation of their relations. Secondly, this graph is enriched with the EVs produced by each network creating a knowledge base. Finally, an effort has been done to identify links between EVs and Sustainable Development Goals (SDG) indicators in a way that they indirectly connect the EO. An analysis to detect gaps in EO variables due to a lack of observational networks is performed. Several suggestions for improving SDG indicators framework by considering EVs are exposed, as well as proposing new necessary EVs and suggesting new EO based indicators. The complete graph is available in the ENEON website (http://www.eneon.net/graph-ev-sdg).