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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 Land Use Land Cover Change Detection Utilising the AlphaEarth Satellite Embedding Dataset in Lagos Nigeria (2017–2024)

2026Sensing and ImagingJournal

10.1007/s11220-026-00839-y Full text0 citations

Authors

5 authors across 4 institutions in 2 countries.

Oluwafemi Michael OdunsiFirst authorCorresponding
- Olabisi Onabanjo University (NG)
as printed: Oluwafemi M. Odunsi
Olabisi S. ObaitorCorresponding
Margaret Y. OnanugaCorresponding
- Tai Solarin University of Education (NG)
as printed: Margaret Y. Odunsi
Valerie GrawCorresponding
Andreas RienowSenior authorCorresponding

Fields

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

Land Use and Ecosystem Serviceslevel 3 · 0.17
Remote Sensing in Agriculturelevel 3 · 0.16
Remote-Sensing Image Classificationlevel 3 · 0.14

Sources

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

openalexseen September 9, 2026
2026 · Sensing and Imaging · 0 citations
https://openalex.org/W7169871554

Machine Learning-Based Land Use Land Cover Change Detection Utilising the AlphaEarth Satellite Embedding Dataset in Lagos Nigeria (2017–2024) · Sankore