Hybrid deep learning and remote sensing for the delineation of artificial groundwater recharge zones

Hybrid deep learning and remote sensing for the delineation of artificial groundwater recharge zones

The increase in water demand and the scarcity of fresh water in arid regions have contributed to the depletion of groundwater. Artificial Groundwater Recharge (AGR) is an advanced strategy that contributes to combating water shortage issues. Limited efforts have been exerted to evaluate and demarcat...

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Bibliografiska uppgifter
Huvudupphovsmän: Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Sunanda Mukherjee, Mohamad Ali Khalil, Mohamed Barakat A. Gibril, Biswajeet Pradhan, Nezar Atalla Hammouri
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2024-06-01
Serie:Egyptian Journal of Remote Sensing and Space Sciences
Ämnen:
Artificial groundwater recharge
Remote sensing (RS)
GIS
Multicriteria analysis
CNN-XGB model
United Arab Emirates
Länkar:http://www.sciencedirect.com/science/article/pii/S1110982324000127

Internet

http://www.sciencedirect.com/science/article/pii/S1110982324000127

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