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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.

Analysis of the future potential impact of environmental and climate changes on wildfire spread in Ghana's ecological zones using a Random Forest (RF) machine learning approach

2023Remote Sensing Applications Society and EnvironmentJournal

10.1016/j.rsase.2023.101091 Full text18 citations

Authors

5 authors across 3 institutions in 3 countries.

Kueshi Sémanou DahanFirst authorCorresponding
- University for Development Studies (GH)
Raymond Abudu Kasei
- University for Development Studies (GH)
Rikiatu Husseini
- University for Development Studies (GH)
Mamadou Sarr
- Université Gaston Berger (SN)
Mohammed Y. SaidSenior author
- University of Nairobi (KE)

Fields

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

Fire effects on ecosystemslevel 3 · 1.00
Landslides and related hazardslevel 3 · 0.98
Flood Risk Assessment and Managementlevel 3 · 0.97

Sources

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

openalexseen September 8, 2026
2023 · Remote Sensing Applications Society and Environment · 18 citations
https://openalex.org/W4388569192

Analysis of the future potential impact of environmental and climate changes on wildfire spread in Ghana's ecological zones using a Random Forest (RF) machine learning approach · Sankore