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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Detaylı Bibliyografya
Asıl Yazarlar: Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Sunanda Mukherjee, Mohamad Ali Khalil, Mohamed Barakat A. Gibril, Biswajeet Pradhan, Nezar Atalla Hammouri
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Elsevier 2024-06-01
Seri Bilgileri:Egyptian Journal of Remote Sensing and Space Sciences
Konular:
Artificial groundwater recharge
Remote sensing (RS)
GIS
Multicriteria analysis
CNN-XGB model
United Arab Emirates
Online Erişim:http://www.sciencedirect.com/science/article/pii/S1110982324000127

Internet

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

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