UNESCO/UNITWIN Chair Appropriate Technologies for Human Development, Department of Geodynamic, Stratigraphy and Paleontology, Faculty of Geology,
Complutense University of Madrid, 28040
Madrid, Spain
Pedro Martínez-Santos
UNESCO/UNITWIN Chair Appropriate Technologies for Human Development, Department of Geodynamic, Stratigraphy and Paleontology, Faculty of Geology,
Complutense University of Madrid, 28040
Madrid, Spain
Miguel Martín-Loeches
Department of Geology, Geography and Environmental Science,
University of Alcalá, Alcalá de Henares, Madrid, Spain
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3,846
1,590
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5,569
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133
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PDF: 1,590
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Total: 5,569
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EndNote: 133
Views and downloads (calculated since 30 Jun 2021)
Cumulative views and downloads
(calculated since 30 Jun 2021)
Total article views: 4,680 (including HTML, PDF, and XML)
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3,331
1,242
107
4,680
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HTML: 3,331
PDF: 1,242
XML: 107
Total: 4,680
BibTeX: 112
EndNote: 122
Views and downloads (calculated since 18 Jan 2022)
Cumulative views and downloads
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Total article views: 889 (including HTML, PDF, and XML)
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515
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Views and downloads (calculated since 30 Jun 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,569 (including HTML, PDF, and XML)
Thereof 5,273 with geography defined
and 296 with unknown origin.
Total article views: 4,680 (including HTML, PDF, and XML)
Thereof 4,472 with geography defined
and 208 with unknown origin.
Total article views: 889 (including HTML, PDF, and XML)
Thereof 801 with geography defined
and 88 with unknown origin.
Many communities in the Sahel rely solely on groundwater. We develop a machine learning technique to map areas of groundwater potential. Algorithms are trained to detect areas where there is a confluence of factors that facilitate groundwater occurrence. Our contribution focuses on using variable scaling to minimize expert bias and on testing our results beyond standard metrics. This approach is illustrated through its application to two administrative regions of Mali.
Many communities in the Sahel rely solely on groundwater. We develop a machine learning...
