Sentinel-1-based analysis of the severe flood over Pakistan 2022
<p>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) compon...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-10-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/23/3305/2023/nhess-23-3305-2023.pdf |
| _version_ | 1797653361098489856 |
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| author | F. Roth B. Bauer-Marschallinger M. E. Tupas M. E. Tupas C. Reimer P. Salamon W. Wagner |
| author_facet | F. Roth B. Bauer-Marschallinger M. E. Tupas M. E. Tupas C. Reimer P. Salamon W. Wagner |
| author_sort | F. Roth |
| collection | DOAJ |
| description | <p>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 10 August to 23 September 2022. The results were evaluated using the flood maps from the CEMS rapid mapping component. Overall, the algorithm performs reasonably well with a critical success index of up to 80 %, while the detected differences can be primarily attributed to the time difference of the algorithm's results and the corresponding reference. Over the 6-week time span, an area of 30 492 km<span class="inline-formula"><sup>2</sup></span> was observed to be flooded at least once, and the maximum extent was found to be present on 30 August. The study demonstrates the ability of the TU Wien flood mapping algorithm to fully automatically produce large-scale results and how key data of an event can be derived from these results.</p> |
| first_indexed | 2024-03-11T16:43:33Z |
| format | Article |
| id | doaj.art-a9e2c2f4ed234563a5625c014e6e5508 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-03-11T16:43:33Z |
| publishDate | 2023-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-a9e2c2f4ed234563a5625c014e6e55082023-10-23T06:54:24ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812023-10-01233305331710.5194/nhess-23-3305-2023Sentinel-1-based analysis of the severe flood over Pakistan 2022F. Roth0B. Bauer-Marschallinger1M. E. Tupas2M. E. Tupas3C. Reimer4P. Salamon5W. Wagner6Department of Geodesy and Geoinformation, TU Wien, Vienna, AustriaDepartment of Geodesy and Geoinformation, TU Wien, Vienna, AustriaDepartment of Geodesy and Geoinformation, TU Wien, Vienna, AustriaDepartment of Geodetic Engineering, University of the Philippines Diliman, Quezon City, PhilippinesEODC Earth Observation Data Centre for Water Resources Monitoring GmbH, Vienna, AustriaJoint Research Centre, European Commission, Via E. Fermi 2749, 21027 Ispra, ItalyDepartment of Geodesy and Geoinformation, TU Wien, Vienna, Austria<p>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 10 August to 23 September 2022. The results were evaluated using the flood maps from the CEMS rapid mapping component. Overall, the algorithm performs reasonably well with a critical success index of up to 80 %, while the detected differences can be primarily attributed to the time difference of the algorithm's results and the corresponding reference. Over the 6-week time span, an area of 30 492 km<span class="inline-formula"><sup>2</sup></span> was observed to be flooded at least once, and the maximum extent was found to be present on 30 August. The study demonstrates the ability of the TU Wien flood mapping algorithm to fully automatically produce large-scale results and how key data of an event can be derived from these results.</p>https://nhess.copernicus.org/articles/23/3305/2023/nhess-23-3305-2023.pdf |
| spellingShingle | F. Roth B. Bauer-Marschallinger M. E. Tupas M. E. Tupas C. Reimer P. Salamon W. Wagner Sentinel-1-based analysis of the severe flood over Pakistan 2022 Natural Hazards and Earth System Sciences |
| title | Sentinel-1-based analysis of the severe flood over Pakistan 2022 |
| title_full | Sentinel-1-based analysis of the severe flood over Pakistan 2022 |
| title_fullStr | Sentinel-1-based analysis of the severe flood over Pakistan 2022 |
| title_full_unstemmed | Sentinel-1-based analysis of the severe flood over Pakistan 2022 |
| title_short | Sentinel-1-based analysis of the severe flood over Pakistan 2022 |
| title_sort | sentinel 1 based analysis of the severe flood over pakistan 2022 |
| url | https://nhess.copernicus.org/articles/23/3305/2023/nhess-23-3305-2023.pdf |
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