Spatiotemporal Predicting of Susceptible Coastal Areas Using SAR–Optical Data Integration and Geospatial Artificial Intelligence

Rebouh, N. Y.; Zheng, X.; Zhang, S.; Huang, W.; Khalid, M. B.; Ishaq, T.; Kraiem, H.; Kucher, D.E.

Authors

Чжэн X. (Zheng X.) , Чжан С. (Zhang S.) , Хуан В. (Huang W.) , Халид М.Б. (Khalid M.B.) , Исхак Т. (Ishaq T.) , Крайем Х. (Kraiem H.) , Ребух Н.Я. (Rebouh N.Y.) ¹ , Кучер Д.Е. (Kucher D.E.)

Journal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Publisher

Institute of Electrical and Electronics Engineers Inc.

Language

English

State

Published

Department

Институт экологии

Link

External link

DOI

10.1109/JSTARS.2025.3595807

Year

2025

Organizations

¹ Peoples Friendship University of Russia named after Patrice Lumumba

Cite

ГОСТ MLA RIS BibTex

PLANT-BASED TRADITIONAL REMEDIES AND THEIR ROLE IN PUBLIC HEALTH: ETHNOMEDICINAL PERSPECTIVES FOR A GROWING POPULATION

Article

Rebouh N.Y, Wang X, Anwar T, Qureshi H, El-Beltagi H.S, Sehar Z, Solieva D, Azizov B, Abbasov M.A, Yakubov F, Alomran M.M

Journal of Health, Population and Nutrition. 2025.

HIGH-ACCURACY MAPPING OF COASTAL AND WETLAND AREAS USING MULTI-SENSOR DATA FUSION AND DEEP FEATURE LEARNING

Article

Rebouh N.Y., Han S, Gao R, Waseem L.A., Shitu K, Zulqarnain R.M, Said Y

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025.