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
13 citations as recorded by crossref.
- 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 https://doi.org/10.1016/j.jhydrol.2025.132777
- Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. https://doi.org/10.3390/w15234034
- Advancing Human Displacement Modeling: A Case Study of the 2022 Summer Floods in Pakistan P. Kam et al. https://doi.org/10.1029/2025EF006788
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al. https://doi.org/10.1007/s11069-024-06629-7
- Assessing Agrometeorological Damage after the 2022 Pakistan Floods: Insights from Multi-Sensor Satellite Data M. Khan et al. https://doi.org/10.1007/s41748-025-00670-7
- Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques T. Destefanis et al. https://doi.org/10.3390/rs17172943
- The fully-automatic Sentinel-1 Global Flood Monitoring service: Scientific challenges and future directions W. Wagner et al. https://doi.org/10.1016/j.rse.2025.115108
- Towards robust validation strategies for EO flood maps T. Landwehr et al. https://doi.org/10.1016/j.rse.2024.114439
- Impact Assessment of Flood Extent on Agricultural Land and Communities Using Google Earth Engine and SAR Data: A Case Study of Indus River Basin A. Hassan et al. https://doi.org/10.22201/igeof.2954436xe.2026.65.2.1907
- Understanding flood dynamics in the Indus River Basin: Lessons from the 2022 Pakistan deluge A. Aryal et al. https://doi.org/10.1016/j.ejrh.2025.102362
- Assessment of the 2022 Floods in Lower Indus Basin Using Suite of Satellite Sensors and Hydrological Modelling P. Gupta et al. https://doi.org/10.1007/s12524-024-02105-8
- Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon https://doi.org/10.5194/nhess-24-2817-2024
- Geospatial Technologies for Flood and Drought Management: A Review of Earth Observation Data, Procedures, and their Operational Effectiveness S. Guliyeva & P. Boccardo https://doi.org/10.1007/s42496-026-00309-4
13 citations as recorded by crossref.
- 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 https://doi.org/10.1016/j.jhydrol.2025.132777
- Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. https://doi.org/10.3390/w15234034
- Advancing Human Displacement Modeling: A Case Study of the 2022 Summer Floods in Pakistan P. Kam et al. https://doi.org/10.1029/2025EF006788
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al. https://doi.org/10.1007/s11069-024-06629-7
- Assessing Agrometeorological Damage after the 2022 Pakistan Floods: Insights from Multi-Sensor Satellite Data M. Khan et al. https://doi.org/10.1007/s41748-025-00670-7
- Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques T. Destefanis et al. https://doi.org/10.3390/rs17172943
- The fully-automatic Sentinel-1 Global Flood Monitoring service: Scientific challenges and future directions W. Wagner et al. https://doi.org/10.1016/j.rse.2025.115108
- Towards robust validation strategies for EO flood maps T. Landwehr et al. https://doi.org/10.1016/j.rse.2024.114439
- Impact Assessment of Flood Extent on Agricultural Land and Communities Using Google Earth Engine and SAR Data: A Case Study of Indus River Basin A. Hassan et al. https://doi.org/10.22201/igeof.2954436xe.2026.65.2.1907
- Understanding flood dynamics in the Indus River Basin: Lessons from the 2022 Pakistan deluge A. Aryal et al. https://doi.org/10.1016/j.ejrh.2025.102362
- Assessment of the 2022 Floods in Lower Indus Basin Using Suite of Satellite Sensors and Hydrological Modelling P. Gupta et al. https://doi.org/10.1007/s12524-024-02105-8
- Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon https://doi.org/10.5194/nhess-24-2817-2024
- Geospatial Technologies for Flood and Drought Management: A Review of Earth Observation Data, Procedures, and their Operational Effectiveness S. Guliyeva & P. Boccardo https://doi.org/10.1007/s42496-026-00309-4
Saved (final revised paper)
Latest update: 09 Jun 2026
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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