Geospatial technology-based MCDA and machine learning algorithms: an ensemble and inter-evaluating frameworks for conceptualizing groundwater potential

Ecological Frontiers 2026

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Authors: Kesyton Oyamenda Ozegin, Soliu Ademola Mudashiru, Jude Steven Ejepu
DOI: 10.1016/j.ecofro.2026.02.003
Cited by: 2
References: 127

Fields of Study & Subjects

Groundwater and Watershed Analysis Groundwater and Isotope Geochemistry Geophysical and Geoelectrical Methods

Publication details

Journal / source
Ecological Frontiers
Publisher
Elsevier BV
Volume
46
Issue
4
Pages
1444–1468
Publication date
4 March 2026
Language
EN