Version 1
: Received: 9 August 2024 / Approved: 9 August 2024 / Online: 12 August 2024 (14:08:08 CEST)
How to cite:
Caretto, A.; Poterek, Q.; Braun, R.; Clandillon, S.; Huber, C.; Ceccato, P. INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management. Preprints2024, 2024080739. https://doi.org/10.20944/preprints202408.0739.v1
Caretto, A.; Poterek, Q.; Braun, R.; Clandillon, S.; Huber, C.; Ceccato, P. INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management. Preprints 2024, 2024080739. https://doi.org/10.20944/preprints202408.0739.v1
Caretto, A.; Poterek, Q.; Braun, R.; Clandillon, S.; Huber, C.; Ceccato, P. INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management. Preprints2024, 2024080739. https://doi.org/10.20944/preprints202408.0739.v1
APA Style
Caretto, A., Poterek, Q., Braun, R., Clandillon, S., Huber, C., & Ceccato, P. (2024). INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management. Preprints. https://doi.org/10.20944/preprints202408.0739.v1
Chicago/Turabian Style
Caretto, A., Claire Huber and Pietro Ceccato. 2024 "INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management" Preprints. https://doi.org/10.20944/preprints202408.0739.v1
Abstract
The Rapid Mapping (RM) component of the Copernicus Emergency Management Service (CEMS) delivers crisis information within hours or days, during and in the immediate aftermath of a disaster. Users of the service have requested the incorporation of flood depth estimates for inundations and related disasters, such as storms and tsunamis. This demand required the development of a quick and operational approach for estimating floodwater depth distribution, which can effectively adapt to a wide range of flood scenarios, remotely sensed data and Digital Terrain Models (DTMs). INFLOS is a tool developed to answer these requirements, within an expedient 30-minute timeframe at most. It uses sample points collected along the edges of flooded areas derived from remotely sensed imagery, and integrates high resolution DTMs and hydrography data to enhance accuracy. Flood depth is then estimated through a multi-step interpolation and filtering process. INFLOS underwent thorough testing across fourteen regions. As it transitioned into production, INFLOS successfully generated a wealth of flood depth products accessible through the CEMS RM portal: https://emergency.copernicus.eu/mapping/list-of-activations-rapid. Currently, INFLOS is operational and its computation time remains consistently within the order of minutes, making it a staple of the RM tooling and portfolio.
Keywords
flood depth; interpolation; digital terrain model; remote sensing; emergency management
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
