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Monitoring Continental Wetland Dynamics and Drivers of Changes Using Google Earth Engine

Monitoring Continental Wetland Dynamics and Drivers of Changes Using Google Earth Engine
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Author(s): Said Moukrim (Research Center BIOBIO, Faculty of Sciences, Mohammed V University, Rabat, Morocco), Said Lahssini (National School of Forest Engineers, Morocco), Mouhssine Rhazi (Faculty of Sciences and Techniques, Moulay Ismail University, Morocco), Er-Riyahi Saber (Faculty of Letters and Human Sciences, Department of Geography, Moulay Ismail University, Morocco), Kamal Menzou (Water and Forests Department, Morocco), Mohammed El Madihi (Faculty of Sciences, Chouaib Doukkali University, El Jadida, Morocco & Research Center BIOBIO, Faculty of Sciences, Mohammed V University, Rabat, Morocco), Abdelkrim Ben Salem (Research Center BIOBIO, Faculty of Sciences, Mohammed V University, Rabat, Morocco), Abdelkader Benabou (Research Center BIOBIO, Faculty of Sciences, Mohammed V University, Rabat, Morocco), Hicham Mharzi-Alaoui (Mohammed VI Polytechnic University, Morocco), Issam Boukhris (University of Tuscia, Italy & CMCC Foundation, Italy)and Laïla Rhazi (Research Center BIOBIO, Faculty of Sciences, Mohammed V University, Rabat, Morocco)
Copyright: 2023
Pages: 11
Source title: Climatic and Environmental Significance of Wetlands: Case Studies from Eurasia and North Africa
Source Author(s)/Editor(s): Abdelkrim Ben Salem (Faculty of Sciences, Mohammed V University, Rabat, Morocco), Laila Rhazi (Faculty of Sciences, Mohammed V University, Rabat, Morocco)and Ahmed Karmaoui (Moulay Ismail University of Meknes, Morocco & Moroccan Center for Culture and Science, Morocco)
DOI: 10.4018/978-1-7998-9289-2.ch001

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Abstract

Wetlands around the world face anthropogenic and climate pressures that threaten key ecosystem processes such as the water cycle. Such threats are most acute for non-perennial systems that rely on occasional surface water flows to maintain important ecological functions. This work will focus on the use of remote sensing within a cloud-based computing platform to assess the spatio-temporal evolution of Dayet Aoua through the development of a water transition map between 1984 and 2019. It is also question of detecting and spatializing the main drivers of the various challenges, mainly the land use changes operated. This study revealed that a combination of changes in climatic and land use change in the vicinity of the lake has recently affected the dynamic and the recovery capacity of Dayet Aoua. This study highlights the need to increase public awareness and decision-makers' knowledge concerning the relationship between land use change and wetlands degradation.

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