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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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Improving Land Use/Cover Classification Accuracy from Random Forest Feature Importance Selection Based on Synergistic Use of Sentinel Data and Digital Elevation Model in Agriculturally Dominated Landscape

2022AgricultureJournalOpen access

10.3390/agriculture13010098 Full text56 citations

Authors

1 authors.

Sa’ad IbrahimFirst authorCorresponding
- Abdullahi Fodio University of Science and Technology (NG)

Fields

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

Remote Sensing in Agriculturelevel 3 · 1.00
Remote Sensing and LiDAR Applicationslevel 3 · 1.00
Land Use and Ecosystem Serviceslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · Agriculture · 56 citations
https://openalex.org/W4313319008

Improving Land Use/Cover Classification Accuracy from Random Forest Feature Importance Selection Based on Synergistic Use of Sentinel Data and Digital Elevation Model in Agriculturally Dominated Landscape · Sankore