-Using Earth observation data and AI to estimate areas occluded by clouds
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SOLVE CHALLENGES WITH SATELLITE IMAGERY DATA
Swedish Space Data Lab, Arctic Business and Innovatum Startup invite you to the Space Data Hackathon! The availability of large amounts of satellite imagery data through the European Copernicus project and open source platforms like the OpenDataCube (ODC) greatly bolsters the opportunities to apply classical machine learning and deep learning algorithms. These models can be employed to meet many challenges. One challenge often arising in the analysis of satellite data is that of cloud occlusion. Depending on the time of the year and the location of the Area of Interest (AoI) clouds can fully or partially cover the image and hamper the analysis. There are, however, many methods available for the estimation of missing data.
What is a Hackathon
A hackathon is an event where problem solving is the focus. People work together and work together to create new innovative solutions to specific problems for a limited time. It is a playful and effective method of boosting creativity and new ideas. Participants work together in groups to find solutions to the challenges and problems presented.
It is also a great way to encourage people to think outside the box in a safe and welcoming environment. Hackathons is one of the future design methods where you can take advantage of people’s differences and work on problem solving in a fun, inspiring and transparent way. Hackathons are no longer just for programmers and developers. Everyone can be part of a hackathon. Diversity means increased innovation.