Flood Detection On Low Cost Orbital Hardware

Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, Dietmar Backes

Research output: Contribution to conferencePaperpeer-review

Abstract

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 ΦSat-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.
Original languageEnglish
Number of pages6
Publication statusPublished - 13 Dec 2019
EventArtificial Intelligence for Humanitarian Assistance and Disaster Response Workshop @ NeurIPS 2019 - Vancouver, Canada
Duration: 13 Dec 201913 Dec 2019
https://www.hadr.ai/previous-years/2019/home-2019

Conference

ConferenceArtificial Intelligence for Humanitarian Assistance and Disaster Response Workshop @ NeurIPS 2019
Abbreviated titleAI + HADR 2019
Country/TerritoryCanada
CityVancouver
Period13/12/1913/12/19
Internet address

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