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REVIEW article

Front. Remote Sens.
Sec. Image Analysis and Classification
Volume 4 - 2023 | doi: 10.3389/frsen.2023.1280654

Breakthroughs in Satellite Remote Sensing of Floods Provisionally Accepted

  • 1Department of Research and Education, RSS-Hydro, Luxembourg
  • 2School of Geographical Sciences, University of Bristol, United Kingdom

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Flooding is among the top-ranking disasters worldwide, evident through frequent and devastating events causing significant localized impacts and broader repercussions. Floods lead to substantial insured and uninsured losses, with a few hundred billions of $US in flood-related losses over the last five years, only a moderate amount of which were insured. Remote sensing, especially via satellite technology, has great potential for flood mapping and monitoring. Although many initiatives utilize satellites for flood response, few have resulted in operational protocols for mandated response organizations. Historic breakthroughs in satellite remote sensing have occurred since the 1970s, with six major milestones enhancing flood monitoring over the last half century. This article will look back at these technological development breakthroughs and the barriers to progress they lifted. Advancements in machine learning, cloud computing, and increased satellite missions promise more developments. Anticipated innovations include satellite constellations with various sensors and selflearning processing models to relay real-time insights for disaster response. Looking forward, a transformative shift in flood mapping from space may be expected as early as 2025, driven by enhanced orbital computing for predictive capabilities, improving disaster preparedness and response.

Keywords: Floods, Optical, SAR, Landsat, MODIS, Disaster charter, Copernicus, machine learning

Received: 21 Aug 2023; Accepted: 21 Nov 2023.

Copyright: © 2023 Schumann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Guy J. Schumann, Department of Research and Education, RSS-Hydro, Dudelange, L-3593, Luxembourg