Extreme climatic events and disasters have increased in numbers, frequency, intensity and impact through the last decades and are together with war and conflict threatening societal resilience and the fabric of the global community.
In a major, complex, crisis or disaster data, oversight, resources or tools are often inadequate. Decisionmakers may find themselves awash in data which is not harmonized, operationalized or presented to facilitate decision-making in forecasting, mitigating or managing a poly-crisis.
We will establish a decision support system based on remote sensing, computer vision, fusion of qualitative and quantitative data and AI to enable governments and humani-tarian actors in managing catastrophes and crisis whether it is due to:
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1Disaster
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2Conflict
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3Climate change
Initially the system will be developed to map pollution with mines, scattered and unexploded ordnance in Ukraine.
As the system is open-source and generic apart from dedicated algorithms, the next step will be to generalize the system to cover climate change and disasters.