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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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Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia

2023HydrologyJournalOpen access

10.3390/hydrology10050110 Full text78 citations

Authors

6 authors across 2 institutions in 2 countries.

Elias S. LeggesseFirst author
- Bahir Dar University (ET)
Fasikaw A. Zimale
- Bahir Dar University (ET)
Dagnenet Sultan
- Bahir Dar University (ET)
Temesgen Enku
- Bahir Dar University (ET)
Raghavan Srinivasan
Seifu A. TilahunSenior authorCorresponding
- Bahir Dar University (ET)
- Water Resources Commission of Ghana (GH)

Fields

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

Water Quality Monitoring Technologieslevel 3 · 0.99
Hydrological Forecasting Using AIlevel 3 · 0.99
Flood Risk Assessment and Managementlevel 3 · 0.98

Sources

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

openalexseen September 10, 2026
2023 · Hydrology · 78 citations
https://openalex.org/W4381839875

Predicting Optical Water Quality Indicators from Remote Sensing Using Machine Learning Algorithms in Tropical Highlands of Ethiopia · Sankore