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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.

Performance comparison of machine learning algorithms for land cover classification

2026Geo-spatial Information ScienceJournalOpen access

10.1080/10095020.2026.2667719 Full text0 citations

Authors

6 authors across 6 institutions in 4 countries.

Christopher Atta AmponsahFirst authorCorresponding
Prince Obosu
Clifford Boateng
Augustine Ofobi Aborah
Thomas Waliba
Kwame ObengSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Remote-Sensing Image Classificationlevel 3 · 0.13
Machine Learning and Data Classificationlevel 3 · 0.05
Remote Sensing in Agriculturelevel 3 · 0.04

Sources

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

openalexseen September 5, 2026
2026 · Geo-spatial Information Science · 0 citations
https://openalex.org/W7161034894

Performance comparison of machine learning algorithms for land cover classification · Sankore