INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management
The INterpolated FLOod Surface (INFLOS) tool was developed to meet the operational needs of the Copernicus Emergency Management Service (CEMS) Rapid Mapping (RM) component, which delivers critical crisis information within hours during and after disasters. With increasing demand for accurate and rea...
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MDPI AG
2025-01-01
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author | Quentin Poterek Alessandro Caretto Rémi Braun Stephen Clandillon Claire Huber Pietro Ceccato |
author_facet | Quentin Poterek Alessandro Caretto Rémi Braun Stephen Clandillon Claire Huber Pietro Ceccato |
author_sort | Quentin Poterek |
collection | DOAJ |
description | The INterpolated FLOod Surface (INFLOS) tool was developed to meet the operational needs of the Copernicus Emergency Management Service (CEMS) Rapid Mapping (RM) component, which delivers critical crisis information within hours during and after disasters. With increasing demand for accurate and real-time flood depth estimates, INFLOS provides a rapid, adaptable solution for estimating floodwater depth across diverse flood scenarios, using remotely sensed data and high-resolution Digital Terrain Models (DTMs). INFLOS calculates flood depth by interpolating water surface elevation from sample points along flooded area boundaries, derived from satellite imagery. This tool is capable of delivering flood depth estimates in a rapid mapping context, leveraging a multistep interpolation and filtering process for improved accuracy. Tested across fourteen regions in Europe and South America, INFLOS has been successfully integrated into CEMS RM operations. The tool’s computational optimisations further enhance efficiency, improving computation times by up to 15-fold, compared to similar techniques. Indeed, it is able to process areas of up to 6000 ha in a median time of 5.2 min, and up to 30 min at most. In conclusion, INFLOS is currently operational and consistently generates flood depth products quickly, supporting real-time emergency management and reinforcing the CEMS RM portfolio. |
format | Article |
id | doaj-art-b277c50335da4b8dbd4692633320c5d3 |
institution | Kabale University |
issn | 2072-4292 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj-art-b277c50335da4b8dbd4692633320c5d32025-01-24T13:48:09ZengMDPI AGRemote Sensing2072-42922025-01-0117232910.3390/rs17020329INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency ManagementQuentin Poterek0Alessandro Caretto1Rémi Braun2Stephen Clandillon3Claire Huber4Pietro Ceccato5ICube-SERTIT, University of Strasbourg, 300 Bd Sébastien Brant, 67412 Illkirch-Graffenstaden, FranceICube-SERTIT, University of Strasbourg, 300 Bd Sébastien Brant, 67412 Illkirch-Graffenstaden, FranceICube-SERTIT, University of Strasbourg, 300 Bd Sébastien Brant, 67412 Illkirch-Graffenstaden, FranceICube-SERTIT, University of Strasbourg, 300 Bd Sébastien Brant, 67412 Illkirch-Graffenstaden, FranceICube-SERTIT, University of Strasbourg, 300 Bd Sébastien Brant, 67412 Illkirch-Graffenstaden, FranceDG-Joint Research Centre, Via Enrico Fermi 2749, I-21027 Ispra, ItalyThe INterpolated FLOod Surface (INFLOS) tool was developed to meet the operational needs of the Copernicus Emergency Management Service (CEMS) Rapid Mapping (RM) component, which delivers critical crisis information within hours during and after disasters. With increasing demand for accurate and real-time flood depth estimates, INFLOS provides a rapid, adaptable solution for estimating floodwater depth across diverse flood scenarios, using remotely sensed data and high-resolution Digital Terrain Models (DTMs). INFLOS calculates flood depth by interpolating water surface elevation from sample points along flooded area boundaries, derived from satellite imagery. This tool is capable of delivering flood depth estimates in a rapid mapping context, leveraging a multistep interpolation and filtering process for improved accuracy. Tested across fourteen regions in Europe and South America, INFLOS has been successfully integrated into CEMS RM operations. The tool’s computational optimisations further enhance efficiency, improving computation times by up to 15-fold, compared to similar techniques. Indeed, it is able to process areas of up to 6000 ha in a median time of 5.2 min, and up to 30 min at most. In conclusion, INFLOS is currently operational and consistently generates flood depth products quickly, supporting real-time emergency management and reinforcing the CEMS RM portfolio.https://www.mdpi.com/2072-4292/17/2/329flood depthinterpolationdigital terrain modelremote sensingemergency management |
spellingShingle | Quentin Poterek Alessandro Caretto Rémi Braun Stephen Clandillon Claire Huber Pietro Ceccato INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management Remote Sensing flood depth interpolation digital terrain model remote sensing emergency management |
title | INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management |
title_full | INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management |
title_fullStr | INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management |
title_full_unstemmed | INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management |
title_short | INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management |
title_sort | interpolated flood surface inflos a rapid and operational tool to estimate flood depths from earth observation data for emergency management |
topic | flood depth interpolation digital terrain model remote sensing emergency management |
url | https://www.mdpi.com/2072-4292/17/2/329 |
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