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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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Machine learning-based flood inundation mapping and LULC classification in Ahoada West, Rivers State, Nigeria using satellite imagery

2026Discover GeoscienceJournalOpen access

10.1007/s44288-026-00499-1 Full text1 citations

Authors

12 authors across 6 institutions in 3 countries.

Meremu Dogiye AmosFirst authorCorresponding
- Rivers State University (NG)
Franklin N. Okeke
Ebingiye Nelvin Agbozu
- Niger Delta University (NG)
Chinwe Felicia Mogo
- Lagos State Health Service Commission (NG)
Olasuodo Inearrow Ogidi
- Rivers State University (NG)
Desmond Rowland Eteh
- Niger Delta University (NG)
Francis Omonefe
- Niger Delta University (NG)
Chiamaka Obiageli Mogo
- Lagos State Health Service Commission (NG)
Ayebawanaemi G. Winston
Obinna Ihekona
- Rivers State University (NG)
Racheal Eseoghene Ojuederie
Oyinkuro Emmanuel KalamaSenior author
- Niger Delta University (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.99
Coastal wetland ecosystem dynamicslevel 3 · 0.00
Groundwater and Watershed Analysislevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Discover Geoscience · 1 citations
https://openalex.org/W7138870808

Machine learning-based flood inundation mapping and LULC classification in Ahoada West, Rivers State, Nigeria using satellite imagery · Sankore