Garba, SI orcid.org/0000-0001-9620-8831, Ebmeier, SK orcid.org/0000-0002-5454-2652, Bastin, J-F orcid.org/0000-0003-2602-7247 et al. (2 more authors) (2023) Wetland mapping at 10 m resolution reveals fragmentation in southern Nigeria. Wetlands Ecology and Management, 31. pp. 329-345. ISSN 0923-4861
Abstract
Wetland ecosystems play key roles in global biogeochemical cycling, but their spatial extent and connectivity is often not well known. Here, we detect the spatial coverage and type of wetlands at 10 m resolution across southern Nigeria (total area: 147,094 km2), thought to be one of the most wetland-rich areas of Africa. We use Sentinel-1 and Sentinel-2 imagery supported by 1500 control points for algorithm training and validation. We estimate that the swamps, marshes, mangroves, and shallow water wetlands of southern Nigeria cover 29,924 km2 with 2% uncertainty of 460 km2. We found larger mangrove and smaller marsh extent than suggested by earlier, coarser spatial resolution studies. Average continuous wetland patch areas were 120, 11, 55 and 13 km2 for mangrove, marsh, swamp, and shallow water respectively. Our final map with 10 m pixels captures small patches of wetland which may not have been observed in earlier mapping exercises, with 20% of wetland patches being < 1 km2; these were clustered around urban centres, suggesting anthropogenic wetland fragmentation. Our approach fills a knowledge gap between very local (< 400 km2) studies reliant on field studies and aerial photos, and low resolution (> 250 m pixel dimensions) global wetland datasets and provides data critical for both improving land-surface climate models and for wetland conservation.
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Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2023. 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/. |
Keywords: | Swamp, Marsh, Mangrove, Optical indices, SAR polarimetric indices, Random forest, Uncertainty |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Apr 2023 13:35 |
Last Modified: | 23 Jan 2025 10:32 |
Published Version: | https://link.springer.com/article/10.1007/s11273-0... |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/s11273-023-09919-2 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198420 |
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