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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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Geospatial machine learning model for limestone suitability assessment

2026International Journal of Applied Earth Observation and GeoinformationJournalOpen access

10.1016/j.jag.2025.105055 Full text1 citations

Authors

3 authors across 3 institutions in 1 country.

Idowu Jane BadaFirst authorCorresponding
- Pan-Atlantic University (NG)
Michael Adeyinka Oladunjoye
- University of Ibadan (NG)
Moruffdeen A. AdabanijaSenior author
- Ladoke Akintola University of Technology (NG)
as printed: Moruffdeen Adedapo Adabanija

Fields

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

Geochemistry and Geologic Mappinglevel 3 · 0.97
Soil Geostatistics and Mappinglevel 3 · 0.01
Mineral Processing and Grindinglevel 3 · 0.00

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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 Applied Earth Observation and Geoinformation · 1 citations
https://openalex.org/W7118725125

Geospatial machine learning model for limestone suitability assessment · Sankore