Recent years have brought tremendous advancements in the area of automated information extraction from Earth Observation (EO) imagery. Still, even the most advanced state-of-the-art algorithms often do not provide a satisfactory solution when based on imagery alone. The GAME.EO project explores the potential of the crowd-sourcing and gaming approaches to exploit distributed human intelligence networks for reference information gathering, in particular in areas where standard on-site collection campaigns are impossible or expensive. In the frame of the project, mobile-based tools will be developed and tested to mobilize volunteers to feed EO-based information workflows in a timely and accurate manner. The approach will be exemplified on the dedicated use case for informal settlements monitoring to demonstrate added-value and synergies with current machine-learning algorithms for the identification, delineation and further characterization of these areas. The developed framework and tools will be evaluated in cooperation with the World Bank Group users and stakeholders.
The GAME.EO project is funded by the European Space Agency (ESA) under the EO Science for Society Call. The project is led by GISAT, teaming with the International Institute for Applied Systems Analysis (IIASA) and Spatial Focus company, both from Austria, as subcontractors.
GISAT is the geoinformation services company, providing actionable information based on Earth Observation technology. It focuses on integrated operational EO application in various expert domains supported by web-based exploration platforms for information analysis and assessment.
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