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

Rami Al-Ruzouq; Abdallah Shanableh; Ratiranjan Jena; Sunanda Mukherjee; Mohamad Ali Khalil; Mohamed Barakat A. Gibril; Biswajeet Pradhan; Nezar Atalla Hammouri

doi:10.1016/j.ejrs.2024.02.006

10.1016/j.ejrs.2024.02.006 384 المشاهدات 9 الاقتباسات

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384

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الاستشهاد بهذا المقال (APA)

Rami, A., Abdallah, S., Ratiranjan, J., Sunanda, M., Mohamad, A. K., Mohamed, B. A. G., Biswajeet, P., Nezar, A. H. (2024). Hybrid deep learning and remote sensing for the delineation of artificial groundwater recharge zones. The Egyptian Journal of Remote Sensing and Space Sciences. https://doi.org/10.1016/j.ejrs.2024.02.006

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Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview

Radhesyam Vaddi; B.L.N. Phaneendra Kumar; Prabukumar Manoharan; L. Agilandeeswar · 2024

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391

Interaction of climate, topography and soil properties with cropland and cropping pattern using remo…