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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 mapping of land use and land cover in the Nigerian red soil region

2026The Egyptian Journal of Remote Sensing and Space ScienceJournalOpen access

10.1016/j.ejrs.2026.06.002 Full text0 citations

Authors

3 authors across 3 institutions in 3 countries.

Frank OKENMUOFirst authorCorresponding
- Chukwuemeka Odumegwu Ojukwu University (NG)
as printed: Frank C. Okenmuo
Pedro A. P. Zamboni
- Chukwuemeka Odumegwu Ojukwu University (NG)
as printed: Pedro A.P. Zamboni
Chukwuebuka C. OkoloSenior author

Fields

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

Soil and Land Suitability Analysislevel 3 · 0.20
Groundwater and Watershed Analysislevel 3 · 0.15
Land Use and Ecosystem Serviceslevel 3 · 0.12

Sources

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

openalexseen September 9, 2026
2026 · The Egyptian Journal of Remote Sensing and Space Science · 0 citations
https://openalex.org/W7167798971

Machine learning-based mapping of land use and land cover in the Nigerian red soil region · Sankore