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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.

River sensing: the inclusion of red band in predicting reach-scale types using machine learning algorithms

2022Hydrological Sciences JournalJournal

10.1080/02626667.2022.2098752 Full text7 citations

Authors

4 authors across 3 institutions in 2 countries.

Adeyemi OlusolaFirst authorCorresponding
- University of the Free State (ZA)
- University of Ibadan (NG)
as printed: Adeyemi Oludapo Olusola
Olumide David Onafeso
- Olabisi Onabanjo University (NG)
as printed: Onafeso Olumide
Olutoyin Adeola Fashae
- University of Ibadan (NG)
Samuel AdelabuSenior author
- University of the Free State (ZA)

Fields

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

Hydrology and Sediment Transport Processeslevel 3 · 1.00
Soil erosion and sediment transportlevel 3 · 1.00
Flood Risk Assessment and Managementlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · Hydrological Sciences Journal · 7 citations
https://openalex.org/W4285039332

River sensing: the inclusion of red band in predicting reach-scale types using machine learning algorithms · Sankore