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Flood Risk and Inundation Mapping in a Changing Climate: Advances in GIS, Remote Sensing, and Artificial Intelligence Methods

Flood Risk and Inundation Mapping in a Changing Climate: Advances in GIS, Remote Sensing, and Artificial Intelligence Methods
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Author(s): Mehmet Ali Celik (Igdir University, Turkey), Ahmed Elbeltagi (Mansoura University, Egypt), Rajat Mishra (G.B. Pant University of Agriculture and Technology, India), Shekhar Singh (G.B. Pant University of Agriculture and Technology, India), Dinesh Kumar Vishwakarma (G.B. Pant University of Agriculture and Technology, India), Kusum Pandey (G.B. Pant National Institute of Himalayan Environment, India)and Muhammed Ernur Akiner (Akdeniz University, Turkey)
Copyright: 2026
Pages: 34
Source title: Advancing Environmental Research Through Applied GIS and Remote Sensing
Source Author(s)/Editor(s): Jamal Al Karkouri (Ibn Tofail University, Morocco), Adil Moumane (Ibn Tofail University, Morocco), Abdessamad Elmotawakkil (Ibn Tofail University, Morocco)and Mouhcine Batchi (Ibn Tofail University, Morocco)
DOI: 10.4018/979-8-3373-6608-1.ch001

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Abstract

Floods are among the most recurrent and destructive natural hazards worldwide, posing significant threats to human life, infrastructure, and ecosystems. They lead to widespread socioeconomic and environmental consequences, including the displacement of populations, disruption of livelihoods, contamination of water supplies, and degradation of natural resources. In recent decades, the impacts of climate change, rapid urbanization, and anthropogenic alterations to natural landscapes such as deforestation, land-use change, and the construction of impervious surfaces have intensified both the frequency and magnitude of flooding events. These evolving environmental and societal conditions have created unprecedented challenges for flood risk assessment, prediction, and mitigation, necessitating the development of more sophisticated and comprehensive approaches to understanding and managing flood hazards.

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