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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.

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Authors

Selena Georgiou

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

NICHOLAS GIRKIN Nicholas.Girkin3@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

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., …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

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