EIT RawMaterials supported RawMatCop started second phase

Three post-doctoral and two placement research projects have been selected in the RawMatCop 2018-2020 Programme second call for projects. 

The five EIT RawMaterials partners have been selected to execute 12-month research projects where they will develop innovative new skills, expertise and applications of Copernicus data and services for the raw materials sector.

The awarded research projects are:

• Characterisation of bauxite residuals in abandoned sites for contamination monitoring and raw material recovery using Copernicus data. Partner: University of Bologna.
• From blasting to tailings: integration of remote sensing and in-situ data for monitoring material streams in mining environments. Partner: Helmholtz Institute Freiberg.
• Early-Warning to the Impacts of Alluvial Miningon Sensitive Areas Using Earth Observation (EO-ALLert). Partner: University of Liège.
• InTarsis II, using Sentinel-1 to improve mining monitoring capacities in Andalucia, Spain. Partner: CSIC in collaboration with mining industry association Aminer Group.
• Development of showcase examples, tools and courses for promoting Copernicus data. Partner: Luleå University of Technology in collaboration with HeadMining and Geological Survey of Denmark and Greenland.

EIT RawMaterials supported RawMatCop is building skills and Earth observation related expertise through Copernicus

The RawMatCop 2018-2020 Programme aims to develop skills, expertise and applications of Copernicus data to the raw materials sector. It is funded in major part by a series of grants from the European Commission (DG GROW) with a contribution from EIT RawMaterials. Copernicus, the European Union’s Earth Observation Programme, offers information services based on satellite Earth Observation and in situ (non-space) data free of charge.

Earth observation data (made available by Copernicus) represents a real asset for the sustainable mining life cycle: exploration; extraction; closure and post-closure. The economic, social and environmental sustainability of the extractive industries can strongly benefit from services and products based on satellite data.

Find more information on RawMatCop here