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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Sunanda Mukherjee, Mohamad Ali Khalil, Mohamed Barakat A. Gibril, Biswajeet Pradhan, Nezar Atalla Hammouri
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Elsevier 2024-06-01
Sarja:Egyptian Journal of Remote Sensing and Space Sciences
Aiheet:
Artificial groundwater recharge
Remote sensing (RS)
GIS
Multicriteria analysis
CNN-XGB model
United Arab Emirates
Linkit:http://www.sciencedirect.com/science/article/pii/S1110982324000127

Internet

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

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