Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Groundwater recharge potential mapping using piezometric data, remote sensing, GIS-based algorithms, and machine learning in the Ansegmir River Watershed, Upper Moulouya region, Morocco

Domaine:

geospatial
Créateur:
HasAyoMohSai
Éditeur:
WNG
Hôte:

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/

Similaires

Weather drought index prediction using the support vector regression in the Ansegmir Watershed, Upper Moulouya, MoroccoGroundwater potential mapping in endorheic basins using remote sensing and ensemble learning algorithms: A case study of the Bahira aquifer, MoroccoMapping Groundwater Potential Zones in Enugu State using Remote Sensing and GIS TechniquesGeothermal potential mapping of Northeast Morocco (Bekrane-Ahfir) using remote sensing data and GISMapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco)Groundwater Potential and Managed Aquifer Recharge Suitability Assessment using GIS-AHP and Machine Learning in the upstream part of Awash River, Ethiopia

Weather drought index prediction using the support vector regression in the Ansegmir Watershed, Upper Moulouya, Morocco

The purpose of this study is to develop mathematical models based on artificial intelligence: Models

Groundwater potential mapping in endorheic basins using remote sensing and ensemble learning algorithms: A case study of the Bahira aquifer, Morocco

Mapping Groundwater Potential Zones in Enugu State using Remote Sensing and GIS Techniques

International audience

Groundwater forms part of the natural water cycle and

Geothermal potential mapping of Northeast Morocco (Bekrane-Ahfir) using remote sensing data and GIS

Geothermal energy is part of the renewable energy mix. It is used for heating, air conditioning and

Mapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco)

This research work is intended as a contribution to the development of a multicriteria methodology,

Groundwater Potential and Managed Aquifer Recharge Suitability Assessment using GIS-AHP and Machine Learning in the upstream part of Awash River, Ethiopia

Abstract Managed aquifer recharge (MAR) is a key strategy for enhancing groundwate