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Data · dataset · 2024

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

Listed in DataSuds

In West Africa, lakes and reservoirs play a vital role as they are critical resources for drinking water, livestock, irrigation and fisheries.

Description

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.

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For direct comparison, the height values of the provided relationships are all referenced to the DSM Pleiades method.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/CRZE9K12 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[modality].local:modality:remote-sensingmapping · dataverse ird frvocabulary-mapper@1.0.0keywords['remote sensing']
created_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
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publication_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
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