Preprints
https://doi.org/10.5194/egusphere-2022-1061
https://doi.org/10.5194/egusphere-2022-1061
 
18 Oct 2022
18 Oct 2022
Status: this preprint is open for discussion.

Sentinel-1 based analysis of the Pakistan Flood in 2022

Florian Roth1, Bernhard Bauer-Marschallinger1, Mark Edwin Tupas1,2, Christoph Reimer3, Peter Salamon4, and Wolfgang Wagner1 Florian Roth et al.
  • 1Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
  • 2Department of Geodetic Engineering, University of the Philippines Diliman, Quezon City, Philippines
  • 3EODC Earth Observation Data Centre for Water Resources Monitoring GmbH, Vienna, Austria
  • 4European Commission, Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Italy

Abstract. In August and September 2022, Pakistan was hit by a severe flood and millions of people were impacted. The Sentinel-1 based flood mapping algorithm developed by Technische Universität Wien (TU Wien) for the Copernicus Emergency Management Service (CEMS) global flood monitoring (GFM) component was used to document the propagation of the flood from August 10 to September 23, 2022. The results were evaluated using the flood maps from the CEMS rapid mapping component. Overall, the algorithm performs reasonably with a critical success index of up to 80 %, while the detected differences are traced back to different sensors used for the flood mapping. Over the 6 weeks timespan an area of 30,492 km2 was observed to be flooded at least once, and the maximum extent was found to be present on August 30.

Florian Roth et al.

Status: open (extended)

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Florian Roth et al.

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Sentinel-1 based analysis of the Pakistan Flood in 2022 Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, Wolfgang Wagner https://doi.org/10.48436/zvvmh-nan78

Florian Roth et al.

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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 was the only way of providing large scale information of 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 to be flooded at least once during the study's time period. This affected area matches about the total area of Belgium.