Articles | Volume 23, issue 10
https://doi.org/10.5194/nhess-23-3305-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3305-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sentinel-1-based analysis of the severe flood over Pakistan 2022
Florian Roth
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Bernhard Bauer-Marschallinger
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Mark Edwin Tupas
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Department of Geodetic Engineering, University of the Philippines Diliman, Quezon City, Philippines
Christoph Reimer
EODC Earth Observation Data Centre for Water Resources Monitoring GmbH, Vienna, Austria
Peter Salamon
Joint Research Centre, European Commission, Via E. Fermi 2749, 21027 Ispra, Italy
Wolfgang Wagner
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
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Cited
12 citations as recorded by crossref.
- Towards robust validation strategies for EO flood maps T. Landwehr et al. 10.1016/j.rse.2024.114439
- Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: Spatio-temporal analysis of the 23·7 Haihe basin-wide extreme flood L. Lan & X. Wang 10.1016/j.jhydrol.2025.132777
- Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. 10.3390/w15234034
- Understanding flood dynamics in the Indus River Basin: Lessons from the 2022 Pakistan deluge A. Aryal et al. 10.1016/j.ejrh.2025.102362
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al. 10.1007/s11069-024-06629-7
- Assessment of the 2022 Floods in Lower Indus Basin Using Suite of Satellite Sensors and Hydrological Modelling P. Gupta et al. 10.1007/s12524-024-02105-8
- Assessing Agrometeorological Damage after the 2022 Pakistan Floods: Insights from Multi-Sensor Satellite Data M. Khan et al. 10.1007/s41748-025-00670-7
- Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon 10.5194/nhess-24-2817-2024
- Global flood extent segmentation in optical satellite images E. Portalés-Julià et al. 10.1038/s41598-023-47595-7
- Known and Unknown Environmental Impacts Related to Climate Changes in Pakistan: An Under-Recognized Risk to Local Communities M. Adnan et al. 10.3390/su16146108
- Sentinel-1-based analysis of the severe flood over Pakistan 2022 F. Roth et al. 10.5194/nhess-23-3305-2023
- FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting Q. Xu et al. 10.1038/s41597-025-04725-2
8 citations as recorded by crossref.
- Towards robust validation strategies for EO flood maps T. Landwehr et al. 10.1016/j.rse.2024.114439
- Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: Spatio-temporal analysis of the 23·7 Haihe basin-wide extreme flood L. Lan & X. Wang 10.1016/j.jhydrol.2025.132777
- Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. 10.3390/w15234034
- Understanding flood dynamics in the Indus River Basin: Lessons from the 2022 Pakistan deluge A. Aryal et al. 10.1016/j.ejrh.2025.102362
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al. 10.1007/s11069-024-06629-7
- Assessment of the 2022 Floods in Lower Indus Basin Using Suite of Satellite Sensors and Hydrological Modelling P. Gupta et al. 10.1007/s12524-024-02105-8
- Assessing Agrometeorological Damage after the 2022 Pakistan Floods: Insights from Multi-Sensor Satellite Data M. Khan et al. 10.1007/s41748-025-00670-7
- Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon 10.5194/nhess-24-2817-2024
4 citations as recorded by crossref.
- Global flood extent segmentation in optical satellite images E. Portalés-Julià et al. 10.1038/s41598-023-47595-7
- Known and Unknown Environmental Impacts Related to Climate Changes in Pakistan: An Under-Recognized Risk to Local Communities M. Adnan et al. 10.3390/su16146108
- Sentinel-1-based analysis of the severe flood over Pakistan 2022 F. Roth et al. 10.5194/nhess-23-3305-2023
- FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting Q. Xu et al. 10.1038/s41597-025-04725-2
Latest update: 30 Jun 2025
Short summary
In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
In August and September 2022, millions of people were impacted by a severe flood event in...
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