Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)

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Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)
Girard, Félix; Grippa, Manuela; Kergoat, Laurent; Nikiema, Hedwige; Wubda, Maxime; Yonaba, Roland; Fowé, Tazen; Abdourhamane Touré, Amadou; Mainassara, Ibrahim; De Fleury, Mathilde, 2024, "Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)", https://doi.org/10.23708/CRZE9K, DataSuds, V1, UNF:6:FKg53StFN6/u24Mc/S3XFw== [fileUNF]
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Description

In West Africa, lakes and reservoirs play a vital role as they are critical resources for drinking water, livestock, irrigation and fisheries. Given the scarcity of in situ data, satellite remote sensing is an important tool for monitoring lake volume changes in this region.

Several methods have been developed to do this using water height and area relationships, but few publications have compared their performance over small and medium-sized lakes. In this work we compare four methods based on recent data from the Pleiades, Sentinel-2 and -3, ICESat-2 and GEDI missions over 16 lakes in the Central Sahel (Niger, Mali and Burkina Faso), ranging in area from 0.22 km² to 21 km².

This dataset contains the remote sensing-derived height-area-volume relationships of the 16 lakes studied. It also includes the in-situ data-based height-area-volume relationships of the Arzuma reservoir and the Agoufou and Bangou Kirey lakes. For direct comparison, the height values of the provided relationships are all referenced to the DSM Pleiades method.

(2024-02-15)
Subject Earth and Environmental Sciences
Keyword remote sensing, lake, height, area, volume, Sahel
Related Publication F. Girard, L. Kergoat, H. Nikiema, M. Wubda, R. Yonaba, T. Fowé, A. Abdourhamane Touré, I. Mainassara, M. de Fleury, M. Grippa (2024) Comparison of methods to derive the height-area relationship of shallow lakes in West Africa using remote sensing. ESS Open Archive. doi: 10.22541/essoar.171033146.63952188/v1
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hypsometry_data_girard2024.tab
hypsometry_data_girard2024/Tabular Data - 382.5 KB
Published Feb 29, 2024
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7 Variables, 3759 Observations UNF:6:FKg53StFN6/u24Mc/S3XFw==
Remote sensing-derived height-area-volume relationships (CSV format)
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hypsometry_data_girard2024_README.txt
hypsometry_data_girard2024/Plain Text - 1.9 KB
Published Feb 29, 2024
1 Download
MD5: 2f918b3451c1af6032895fb3f43cd520
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