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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 and deep learning as tools for monitoring forest recovery from disturbance in the western United States

2026International Journal of Remote SensingJournal

10.1080/01431161.2026.2625512 Full text0 citations

Authors

5 authors across 5 institutions in 3 countries.

James WickhamFirst author
- Environmental Protection Agency (GH)
Ari Zitin
Jason Colón
Anne Neale
- Environmental Protection Agency (GH)
Jeremy BaynesSenior authorCorresponding
- Environmental Protection Agency (GH)

Fields

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

Remote Sensing and LiDAR Applicationslevel 3 · 0.26
Fire effects on ecosystemslevel 3 · 0.22
Forest Management and Policylevel 3 · 0.12

Sources

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

openalexseen September 5, 2026
2026 · International Journal of Remote Sensing · 0 citations
https://openalex.org/W7130362644

Machine and deep learning as tools for monitoring forest recovery from disturbance in the western United States · Sankore