Reference : Flood Detection On Low Cost Orbital Hardware

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering Engineering, computing & technology : Computer science Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/41845

Title :	Flood Detection On Low Cost Orbital Hardware
Language :	English
Author, co-author :	Mateo-Garcia, Gonzalo [University of Valencia]
	Oprea, Silviu [University of Edinburgh]
	Smith, Lewis [University of Oxford]
	Veitch-Michaelis, Josh [Liverpool John Moores University]
	Schumann, Guy [University of Bristol]
	Gal, Yarin [University of Oxford]
	Baydin, AtılımGünes [University of Oxford]
	Backes, Dietmar [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	Oct-2019
Number of pages :	6
Reviewed work :	https://arxiv.org/abs/1910.03019
Peer reviewed :	Yes
Audience :	International
Event name :	Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Event date :	13-12-2019 to 14-12-2019
Event place (city) :	Vancouver
Event country :	Canada
Keywords :	[en] Image and Video Processing ; Machine Learning ; Flood detection ; Small Satellites ; Earth Observation ; Artificial Intelligence
Abstract :	[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.
Research centres :	FDL
Funders :	Frontiers Development Lab (FDL Europe), European Space Agency (ESA)
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/41845
Other URL :	https://arxiv.org/abs/1910.03019

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