2022
DOI: 10.1016/j.ejrh.2022.101245
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Multiclass spatial predictions of borehole yield in southern Mali by means of machine learning classifiers

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Cited by 2 publications
(1 citation statement)
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“…The work in [371] focuses on preprocessing approaches in machine-learning-based groundwater potential mapping in Mali, specifically the Koulikoro and Bamako regions. The work in [372] presents multiclass spatial predictions of borehole yield in southern Mali using machine learning classifiers. The work in [373] assesses cropland abandonment from violent conflict in central Mali using SENTINEL-2 and Google Earth Engine.…”
Section: J Mali 1)mentioning
confidence: 99%
“…The work in [371] focuses on preprocessing approaches in machine-learning-based groundwater potential mapping in Mali, specifically the Koulikoro and Bamako regions. The work in [372] presents multiclass spatial predictions of borehole yield in southern Mali using machine learning classifiers. The work in [373] assesses cropland abandonment from violent conflict in central Mali using SENTINEL-2 and Google Earth Engine.…”
Section: J Mali 1)mentioning
confidence: 99%