Journal article
Increased flooded area and exposure in the White Volta river basin in Western Africa, identified from multi-source remote sensing data
- Abstract:
- Accurate information on flood extent and exposure is critical for disaster management in data-scarce, vulnerable regions, such as Sub-Saharan Africa (SSA). However, uncertainties in flood extent affect flood exposure estimates. This study developed a framework to examine the spatiotemporal pattern of floods and to assess flood exposure through utilization of satellite images, ground-based participatory mapping of flood extent, and socio-economic data. Drawing on a case study in the White Volta basin in Western Africa, our results showed that synergetic use of multi-temporal radar and optical satellite data improved flood mapping accuracy (77% overall agreement compared with participatory mapping outputs), in comparison with existing global flood datasets (43% overall agreement for the moderate-resolution imaging spectroradiometer (MODIS) Near Real-Time (NRT) Global Flood Product). Increases in flood extent were observed according to our classified product, as well as two existing global flood products. Similarly, increased flood exposure was also observed, however its estimation remains highly uncertain and sensitive to the input dataset used. Population exposure varied greatly depending on the population dataset used, while the greatest farmland and infrastructure exposure was estimated using a composite flood map derived from three products, with lower exposure estimated from each flood product individually. The study shows that there is considerable scope to develop an accurate flood mapping system in SSA and thereby improve flood exposure assessment and develop mitigation and intervention plans.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.5MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-022-07720-4
Authors
+ Natural Environment Research Council
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- Funder identifier:
- https://ror.org/02b5d8509
- Grant:
- NE/P021093/1
- Publisher:
- Springer Nature
- Journal:
- Scientific Reports More from this journal
- Volume:
- 12
- Issue:
- 1
- Article number:
- 3701
- Publication date:
- 2022-03-08
- Acceptance date:
- 2022-02-15
- DOI:
- EISSN:
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2045-2322
- Pmid:
-
35260650
- Language:
-
English
- Keywords:
- Pubs id:
-
1598654
- Local pid:
-
pubs:1598654
- Deposit date:
-
2025-06-06
- ARK identifier:
Terms of use
- Copyright holder:
- Li et al.
- Copyright date:
- 2022
- Rights statement:
- Copyright © 2022, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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