Maged Marghany

Maged MarghanyMaged Marghany is currently a Professor at the Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia. In 2020 he was ranked amongst the top 2 percent of scientists in a globa list compiled by the prestigious Stanford University. He is author of 5 titles including: Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting which is published by Routledge Taylor and Francis Group, CRC and Synthetic Aperture Radar Imaging Mechanism for Oil Spills, which is published by Elsevier,
His research specializes in microwave remote sensing and remote sensing for mineralogy detection and mapping. Previously, he worked as a Deputy Director in Research and Development at the Institute of Geospatial Science and Technology and the Department of Remote Sensing, both at Universiti Teknologi Malaysia. Maged has earned many degrees including a post-doctoral in radar remote sensing from the International Institute for Aerospace Survey and Earth Sciences, a PhD in environmental remote sensing from the Universiti Putra Malaysia, a Master of Science in physical oceanography from the University Pertanian Malaysia, general and special diploma of Education and a Bachelor of Science in physical oceanography from the University of Alexandria in Egypt. Maged has published well over 250 papers in international conferences and journals and is active in International Geoinformatic, and the International Society for Photogrammetry and Remote Sensing (ISPRS).
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1.
Advanced Geoscience Remote Sensing
Publisher: Intech
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2016
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Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling38 %
Publisher: Elsevier Science
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01 Jun 2024
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Remote Sensing and Image Processing in Mineralogy47 %
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Automatic Detection Algorithms of Oil Spill in Radar Images47 %
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Automatic Detection Algorithms of Oil Spill in Radar Images41 %
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Applied Studies of Coastal and Marine Environments
Publisher: InTechOpen
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14 Sep 2016
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Environmental Applications of Remote Sensing
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8 June 2016
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Remote Sensing and Image Processing in MineralogyNR
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27 May 2024
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Recent Oil Spill Challenges That Require More Attention11 % NR
Publisher: InTechOpen
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05 Apr 2023
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Recent Remote Sensing Sensor Applications11 % NR
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26 Oct 2022
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Advanced Remote Sensing Technology for Tsunami Modelling and ForecastingNR
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Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar13 % NR
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Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications, Tsunami Disasters, and Infrastructure12 % NR
Publisher: InTechOpen
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27 Feb 2019
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Remote Sensing Image Processing Algorithms for Detecting Air Turbulence PatternsNR
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22 Nov 2024
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