Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-4081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jul 2021
Research article |
| 14 Jul 2021
| 14 Jul 2021
Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept
Concetta Di Mauro
CORRESPONDING AUTHOR
Luxembourg Institute of Science and Technology, Esch sur Alzette, Luxembourg
Institute of Hydrology and Water Resources Management,
Vienna University of Technology, Vienna, Austria
Renaud Hostache
Luxembourg Institute of Science and Technology, Esch sur Alzette, Luxembourg
Patrick Matgen
Luxembourg Institute of Science and Technology, Esch sur Alzette, Luxembourg
Ramona Pelich
Luxembourg Institute of Science and Technology, Esch sur Alzette, Luxembourg
Marco Chini
Luxembourg Institute of Science and Technology, Esch sur Alzette, Luxembourg
Peter Jan van Leeuwen
Department of Meteorology, University of Reading, Reading, UK
Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, USA
Nancy K. Nichols
Department of Mathematics and Statistics, University of Reading, Reading, UK
Günter Blöschl
Centre for Water Resource Systems, Vienna University of Technology, Vienna, Austria
Institute of Hydrology and Water Resources Management,
Vienna University of Technology, Vienna, Austria
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Cited
34 citations as recorded by crossref.
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al.
- Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping J. Zhao et al.
- Digital elevation model and SAR imagery — A marriage for effectual flood detection using novel lightweight ensemble neural networks J. Veedu & R. Reghunadhan
- FLOMPY: An Open-Source Toolbox for Floodwater Mapping Using Sentinel-1 Intensity Time Series K. Karamvasis & V. Karathanassi
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al.
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al.
- The use of crowdsourced social media data to improve flood forecasting C. Songchon et al.
- Towards improved flood prediction: a review of deterministic hydrologic-hydraulic model coupling G. Mkhonta et al.
- Calibrated river-level estimation from river cameras using convolutional neural networks R. Vandaele et al.
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al.
- Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique) L. Cea et al.
- DMCF-Net: Dilated Multiscale Context Fusion Network for SAR Flood Detection Z. Wang et al.
- A comprehensive study of Surface Water and Ocean Topography (SWOT) Pixel Cloud data for flood extent extraction Q. Bonassies et al.
- Flood mapping in SAR images via threshold segmentation with hydrological-hydrodynamic modeling Z. Li et al.
- A Tempered Particle Filter to Enhance the Assimilation of SAR‐Derived Flood Extent Maps Into Flood Forecasting Models C. Di Mauro et al.
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al.
- Integrating Explicit Dam Release Prediction into Fluvial Forecasting Systems J. Pinho & W. Weber de Melo
- Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis T. Nguyen et al.
- A Localized Particle Filtering Approach to Advance Flood Frequency Estimation at Large Scale Using Satellite Synthetic Aperture Radar Image Collection and Hydrodynamic Modelling M. Zingaro et al.
- Flood Modeling and Prediction Using Earth Observation Data G. Schumann et al.
- Geospatial assessment of climate driven migration in the southwest coastal region of Bangladesh M. Sikder et al.
- Estimation of flood-exposed population in data-scarce regions combining satellite imagery and high resolution hydrological-hydraulic modelling: A case study in the Licungo basin (Mozambique) L. Cea et al.
- Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations—A Proof-of-Concept T. Nguyen et al.
- Coherent and incoherent change detection for improved flood mapping: A Sentinel-1 SAR time-series approach S. Hotaki et al.
- Country‐wide flood exposure analysis using Sentinel‐1 synthetic aperture radar data: Case study of 2019 Iran flood S. Sherpa & M. Shirzaei
- Hydrometeorological Extreme Events in Africa: The Role of Satellite Observations for Monitoring Pluvial and Fluvial Flood Risk M. Gosset et al.
- Water science must be Open Science E. Schymanski & S. Schymanski
- Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations H. Hooker et al.
- A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features H. Farahmand et al.
- Assimilation of Satellite Flood Likelihood Data Improves Inundation Mapping From a Simulation Library System H. Hooker et al.
- Computer vision in flash flood forecasting: A narrative review of applications, integration pathways, and future directions H. Adikari et al.
- Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model G. García-Alén et al.
- The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment A. Tarpanelli et al.
- Chained hydrologic-hydraulic for flood modeling by assimilating SAR-derived flood extent and FFSAR-processed altimetry data T. Nguyen et al.
34 citations as recorded by crossref.
- Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling K. Jafarzadegan et al.
- Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping J. Zhao et al.
- Digital elevation model and SAR imagery — A marriage for effectual flood detection using novel lightweight ensemble neural networks J. Veedu & R. Reghunadhan
- FLOMPY: An Open-Source Toolbox for Floodwater Mapping Using Sentinel-1 Intensity Time Series K. Karamvasis & V. Karathanassi
- Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations T. Nguyen et al.
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al.
- The use of crowdsourced social media data to improve flood forecasting C. Songchon et al.
- Towards improved flood prediction: a review of deterministic hydrologic-hydraulic model coupling G. Mkhonta et al.
- Calibrated river-level estimation from river cameras using convolutional neural networks R. Vandaele et al.
- Improvement of Flood Extent Representation With Remote Sensing Data and Data Assimilation T. Nguyen et al.
- Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique) L. Cea et al.
- DMCF-Net: Dilated Multiscale Context Fusion Network for SAR Flood Detection Z. Wang et al.
- A comprehensive study of Surface Water and Ocean Topography (SWOT) Pixel Cloud data for flood extent extraction Q. Bonassies et al.
- Flood mapping in SAR images via threshold segmentation with hydrological-hydrodynamic modeling Z. Li et al.
- A Tempered Particle Filter to Enhance the Assimilation of SAR‐Derived Flood Extent Maps Into Flood Forecasting Models C. Di Mauro et al.
- Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al.
- Integrating Explicit Dam Release Prediction into Fluvial Forecasting Systems J. Pinho & W. Weber de Melo
- Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis T. Nguyen et al.
- A Localized Particle Filtering Approach to Advance Flood Frequency Estimation at Large Scale Using Satellite Synthetic Aperture Radar Image Collection and Hydrodynamic Modelling M. Zingaro et al.
- Flood Modeling and Prediction Using Earth Observation Data G. Schumann et al.
- Geospatial assessment of climate driven migration in the southwest coastal region of Bangladesh M. Sikder et al.
- Estimation of flood-exposed population in data-scarce regions combining satellite imagery and high resolution hydrological-hydraulic modelling: A case study in the Licungo basin (Mozambique) L. Cea et al.
- Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations—A Proof-of-Concept T. Nguyen et al.
- Coherent and incoherent change detection for improved flood mapping: A Sentinel-1 SAR time-series approach S. Hotaki et al.
- Country‐wide flood exposure analysis using Sentinel‐1 synthetic aperture radar data: Case study of 2019 Iran flood S. Sherpa & M. Shirzaei
- Hydrometeorological Extreme Events in Africa: The Role of Satellite Observations for Monitoring Pluvial and Fluvial Flood Risk M. Gosset et al.
- Water science must be Open Science E. Schymanski & S. Schymanski
- Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations H. Hooker et al.
- A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features H. Farahmand et al.
- Assimilation of Satellite Flood Likelihood Data Improves Inundation Mapping From a Simulation Library System H. Hooker et al.
- Computer vision in flash flood forecasting: A narrative review of applications, integration pathways, and future directions H. Adikari et al.
- Joint assimilation of satellite soil moisture and streamflow data for the hydrological application of a two-dimensional shallow water model G. García-Alén et al.
- The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment A. Tarpanelli et al.
- Chained hydrologic-hydraulic for flood modeling by assimilating SAR-derived flood extent and FFSAR-processed altimetry data T. Nguyen et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.
This study evaluates how the sequential assimilation of flood extent derived from synthetic...
