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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 and geospatial modeling of forest loss, drivers, and risk areas: advancing continuous cover forestry as a nature-based solution

2026ENVIRONMENTAL SYSTEMS RESEARCHJournalOpen access

10.1186/s40068-025-00444-0 Full text0 citations

Authors

5 authors across 2 institutions in 1 country.

Mfoniso Asuquo EnohFirst authorCorresponding
- University of Nigeria (NG)
Okwudili John Ugwu
- Federal University of Technology Owerri (NG)
Baywood Ceciliar Nkechi
- Federal University of Technology Owerri (NG)
Njoku Richard Ebere
- Federal University of Technology Owerri (NG)
Okoroji Anthony ChibuzorSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Land Use and Ecosystem Serviceslevel 3 · 0.28
Soil erosion and sediment transportlevel 3 · 0.12
Remote Sensing in Agriculturelevel 3 · 0.10

Sources

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

openalexseen September 9, 2026
2026 · ENVIRONMENTAL SYSTEMS RESEARCH · 0 citations
https://openalex.org/W7154341717

Machine learning and geospatial modeling of forest loss, drivers, and risk areas: advancing continuous cover forestry as a nature-based solution · Sankore