Reference : Flood Detection On Low Cost Orbital Hardware
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Computer science
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
Flood Detection On Low Cost Orbital Hardware
Mateo-Garcia, Gonzalo mailto [University of Valencia]
Oprea, Silviu [University of Edinburgh]
Smith, Lewis [University of Oxford]
Veitch-Michaelis, Josh [Liverpool John Moores University]
Schumann, Guy mailto [University of Bristol]
Gal, Yarin [University of Oxford]
Baydin, AtılımGünes [University of Oxford]
Backes, Dietmar mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
13-12-2019 to 14-12-2019
[en] Image and Video Processing ; Machine Learning ; Flood detection ; Small Satellites ; Earth Observation ; Artificial Intelligence
[en] Satellite imaging is a critical technology for monitoring and responding to natural disasters such as flooding. Despite the capabilities of modern satellites, there is still much to be desired from the perspective of first response organisations like UNICEF. Two main challenges are rapid access to data, and the ability to automatically identify flooded regions in images. We describe a prototypical flood segmentation system, identifying cloud, water and land, that could be deployed on a constellation of small satellites, performing processing on board to reduce downlink bandwidth by 2 orders of magnitude. We target PhiSat-1, part of the FSSCAT mission, which is planned to be launched by the European Space Agency (ESA) near the start of 2020 as a proof of concept for this new technology.
Frontiers Development Lab (FDL Europe), European Space Agency (ESA)
Researchers ; Professionals ; Students ; General public

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