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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.

Landslide Susceptibility Mapping in Nigeria Using Remote Sensing, GIS, and Machine Learning Models

2024The Asian Review of Civil EngineeringJournalOpen access

10.70112/tarce-2024.13.2.4237 Full text1 citations

Authors

6 authors across 5 institutions in 2 countries.

Eze Kelechi NnajiFirst author
- University of Nigeria (NG)
Gabriel O. Ubana
- University of Cross River State (NG)
as printed: Gabriel Okon Ubana
Gabriel Okon Ubana
- University of Cross River State (NG)
Ewemade Cornelius Enabulele
- Federal University of Technology (NG)
Iyanu Opeyemi Samson
- Kwara State University (NG)
Alimat Funmilayo AkinduroSenior author
- Kwara State University (NG)
- Department of Forestry (MW)

Fields

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

Landslides and related hazardslevel 3 · 0.96

Sources

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

openalexseen September 24, 2026
2024 · The Asian Review of Civil Engineering · 1 citations
https://openalex.org/W4402850624

Landslide Susceptibility Mapping in Nigeria Using Remote Sensing, GIS, and Machine Learning Models · Sankore