Selena Georgiou
Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex
Georgiou, Selena; Mitchard, Edward T. A.; Crezee, Bart; Dargie, Greta C.; Young, Dylan M.; Jovani-Sancho, Antonio J.; Kitambo, Benjamin; Papa, Fabrice; Bocko, Yannick E.; Bola, Pierre; Crabtree, Dafydd E.; Emba, Ovide B.; Ewango, Corneille E. N.; Girkin, Nicholas T.; Ifo, Suspense A.; Kanyama, Joseph T.; Mampouya, Yeto Emmanuel Wenina; Mbemba, Mackline; Ndjango, Jean-Bosco N.; Palmer, Paul. I.; Sjögersten, Sofie; Lewis, Simon L.
Authors
Edward T. A. Mitchard
Bart Crezee
Greta C. Dargie
Dylan M. Young
Antonio J. Jovani-Sancho
Benjamin Kitambo
Fabrice Papa
Yannick E. Bocko
Pierre Bola
Dafydd E. Crabtree
Ovide B. Emba
Corneille E. N. Ewango
Dr NICHOLAS GIRKIN NICHOLAS.GIRKIN@NOTTINGHAM.AC.UK
Assistant Professor in Environmental Sci
Suspense A. Ifo
Joseph T. Kanyama
Yeto Emmanuel Wenina Mampouya
Mackline Mbemba
Jean-Bosco N. Ndjango
Paul. I. Palmer
Professor SOFIE SJOGERSTEN Sofie.Sjogersten@nottingham.ac.uk
PROFESSOR OF ENVIRONMENTAL SCIENCE
Simon L. Lewis
Abstract
Inundation dynamics are the primary control on greenhouse gas emissions from peatlands. Situated in the central Congo Basin, the Cuvette Centrale is the largest tropical peatland complex. However, our knowledge of the spatial and temporal variations in its water levels is limited. By addressing this gap, we can quantify the relationship between the Cuvette Centrale’s water levels and greenhouse gas emissions, and further provide a baseline from which deviations caused by climate or land-use change can be observed, and their impacts understood. We present here a novel approach that combines satellite-derived rainfall, evapotranspiration and L-band Synthetic Aperture Radar (SAR) data to estimate spatial and temporal changes in water level across a sub-region of the Cuvette Centrale. Our key outputs are a map showing the spatial distribution of rainfed and flood-prone locations and a daily, 100 m resolution map of peatland water levels. This map is validated using satellite altimetry data and in situ water table data from water loggers. We determine that 50% of peatlands within our study area are largely rainfed, and a further 22.5% are somewhat rainfed, receiving hydrological input mostly from rainfall (directly and via surface/sub-surface inputs in sloped areas). The remaining 27.5% of peatlands are mainly situated in riverine floodplain areas to the east of the Congo River and between the Ubangui and Congo rivers. The mean amplitude of the water level across our study area and over a 20-month period is 22.8 ± 10.1 cm to 1 standard deviation. Maximum temporal variations in water levels occur in the riverine floodplain areas and in the inter-fluvial region between the Ubangui and Congo rivers. Our results show that spatial and temporal changes in water levels can be successfully mapped over tropical peatlands using the pattern of net water input (rainfall minus evapotranspiration, not accounting for run-off) and L-band SAR data.
Citation
Georgiou, S., Mitchard, E. T. A., Crezee, B., Dargie, G. C., Young, D. M., Jovani-Sancho, A. J., Kitambo, B., Papa, F., Bocko, Y. E., Bola, P., Crabtree, D. E., Emba, O. B., Ewango, C. E. N., Girkin, N. T., Ifo, S. A., Kanyama, J. T., Mampouya, Y. E. W., Mbemba, M., Ndjango, J.-B. N., Palmer, P. I., …Lewis, S. L. (2023). Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex. Remote Sensing, 15(12), Article 3099. https://doi.org/10.3390/rs15123099
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 7, 2023 |
Online Publication Date | Jun 13, 2023 |
Publication Date | Jun 13, 2023 |
Deposit Date | Jan 6, 2024 |
Publicly Available Date | Jan 9, 2024 |
Journal | Remote Sensing |
Electronic ISSN | 2072-4292 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 15 |
Issue | 12 |
Article Number | 3099 |
DOI | https://doi.org/10.3390/rs15123099 |
Keywords | ALOS-2 PALSAR-2; SAR; inundation; tropical peatland; remote sensing; meteorology; Congo Basin; radar; wetlands |
Public URL | https://nottingham-repository.worktribe.com/output/21917540 |
Publisher URL | https://www.mdpi.com/2072-4292/15/12/3099 |
Files
Remotesensing-15-03099-v2
(99.5 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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