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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Machine learning-based flood extent mapping and damage assessment in Yenagoa, Bayelsa State, using Sentinel-1 and 2 imagery (2018-2022)

2025Discovery nature.JournalOpen access

10.54905/disssi.v2i3.e2dn1041 Full text10 citations

Authors

5 authors across 2 institutions in 1 country.

Becky P. BamiekumoFirst author
- Niger Delta University (NG)
as printed: Becky P Bamiekumo
Emmanuella O Akpobome
- Niger Delta University (NG)
Ayanka N Kemebaradikumo
- Rivers State University (NG)
Omabuwa O. Mene-Ejegi
- Rivers State University (NG)
as printed: Omabuwa O Mene-Ejegi
Desmond Rowland EtehSenior author
- Niger Delta University (NG)
as printed: Desmond R Eteh

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Flood Risk Assessment and Managementlevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Discovery nature. · 10 citations
https://openalex.org/W4410634434

Machine learning-based flood extent mapping and damage assessment in Yenagoa, Bayelsa State, using Sentinel-1 and 2 imagery (2018-2022) · Sankore