DEPARTMENTS > BIG EARTH DATA ANALYTICS > CROWDSOURCING-DATA-FUSION

Crowd Sourcing & Data Fusion

The data fusion process, which combines crowd sourced data with multi-modal EO information, can be used to make a high-resolution value-added map representing the environment at the time at which the observations were made. It requires the analysis of large amounts of data and the use of automatic and semiautomatic tools. Crowd sourcing and data fusion techniques are applied to multisource data for increased accuracy of documentation.

crowdsourcing data fusion sector
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This project has received funding from the Government of the Republic of Cyprus through the “Directorate General for European Programmes, Coordination and and Development”.
This project has received funding from the European Union’s “Horizon 2020 Research and Innovation Programme” under Grant Agreement No 857510”.
This project is co-funded by the Cyprus University of Technology.
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