Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model

Author:

Al-Ruzouq RamiORCID,Shanableh Abdallah,Jena Ratiranjan,Gibril Mohammed Barakat A.ORCID,Hammouri Nezar Atalla,Lamghari FouadORCID

Funder

University of Sharjah

Publisher

Elsevier BV

Reference66 articles.

1. Assessment of flash flood hazard based on morphometric aspects and rainfall-runoff modeling in Wadi Nisah, central Saudi Arabia;Abdelkader;Remote Sens. Appl.: Soc. Environ.,2021

2. Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA);Ahmadlou;Geocarto Int.,2019

3. Al Murshidi, A.H., 2012. Flash flooding risk assessment using GIS in Dibba Fujairah, UAE. M.Sc. thesis in Remote Sensing and Geographic Information Systems, UAE University, 183 pp.

4. Potential groundwater zone mapping based on geo-hydrological considerations and multi-criteria spatial analysis: North UAE;Al-Ruzouq;Catena,2019

5. A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran;Arabameri;Sci. Total Environ.,2019

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