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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Main Authors: Quentin Poterek, Alessandro Caretto, Rémi Braun, Stephen Clandillon, Claire Huber, Pietro Ceccato
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/2/329
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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
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issn 2072-4292
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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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