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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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A Hybrid Remote Sensing and Statistical Modelling Framework for River Water-Quality Forecasting During Extreme Hydrologic Events

2026International Journal of Innovative Science and Research Technology (IJISRT)JournalOpen access

10.38124/ijisrt/26mar073 Full text0 citations

Authors

4 authors across 4 institutions in 3 countries.

Itohaosa IsiborFirst author
Otugene Victor Bamigwojo
- Federal University Lokoja (NG)
Lawrence Enyejo
- Federal Ministry of Health (NG)
as printed: Lawrence Anebi Enyejo
Gamaliel Ibuola OlolaSenior author

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.63
Marine and coastal ecosystemslevel 3 · 0.16
Hydrology and Watershed Management Studieslevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Innovative Science and Research Technology (IJISRT) · 0 citations
https://openalex.org/W7133319923

A Hybrid Remote Sensing and Statistical Modelling Framework for River Water-Quality Forecasting During Extreme Hydrologic Events · Sankore