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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.

Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods

2026SensorsJournalOpen access

10.3390/s26031018 Full text1 citations

Authors

6 authors across 4 institutions in 3 countries.

Michael C. EkweFirst authorCorresponding
- National Space Research and Development Agency (NG)
as printed: Michael Ekwe
Hansanee Fernando
Godstime James
- National Space Research and Development Agency (NG)
Adeluyi, Oluseun
- National Space Research and Development Agency (NG)
as printed: Oluseun Adeluyi
Jochem Verrelst
Angela KrossSenior author

Fields

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

Remote Sensing in Agriculturelevel 3 · 0.65
Leaf Properties and Growth Measurementlevel 3 · 0.28
Remote Sensing and LiDAR Applicationslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Sensors · 1 citations
https://openalex.org/W7127617645

Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods · Sankore