Mounir OUKHATTAR
5
Documents
Researcher identifiers
mounir-oukhattar
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0000-0002-3214-9366
Presentation
**PhD candidate of Geography and Environmental Sciences**
Aix-Marseille University, ED 355 "Espaces Cultures Sociétés"
CNRS UMR ESPACE 7300
Aix-en Provence, France
**Introduction**
My area of research focuses on the interactions between urban land use and the estimation of the stock of organic carbon in urban environments. The research methods are based on knowledge-based interpretations of remote sensing data (image analysis, multi-temporal analysis, land use change, geosimulation, spatial analysis) and soil science (soil organic carbon). Currently, my research focuses on the relationship between organic carbon content and land use.
**Education**
PhD candidate, Geography and Environmental Sciences, Aix-Marseille University, CNRS ESPACE UMR 7300, (PhD CNRS Grant). (since April.2022)
- PhD study: The correlation between Organic Carbon Content and Land Use: Application to the Soils of the Aix-Marseille Provence Metropolis. Professor Sébastien GADAL (CNRS ESPACE UMR 7300) and Professor Catherine KELLER (CEREGE UM 34)
Master 2 Geography, Planning, Environment and Development: Geomatics and Spatial Modeling (GMS), International Master Program: Geomatic and Environment, University of Aix-Marseille, Faculty of Arts, Letters, Languages and Human Sciences (1st year). (Sept. 2020- Jun. 2021)
Master 1 Geography, Planning, Environment and Development University of Aix-Marseille, Faculty of Arts, Letters, Languages and Human Sciences (1st year). (Sept. 2019- Jun. 2020)
Master of Science and Technology at the Faculty of Science and Technology Béni Mellal, Sultane Moulay Slimane University, Sector: Geomatics and Environment (2nd year). (Sept. 2017- Jun. 2019)
Bachelor of Science and Technology at the Faculty of Science and Technology Béni Mellal, Sultane Moulay Slimane University. Sector: Geomatics and Spatial Planning (1st year). (Sept. 2016- Jun. 2017)
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Spatio-temporal modelling of relationship between Organic Carbon Content and Land Use using Deep Learning approach and several covariables: application to the soils of the Beni Mellal in MoroccoGISTAM 2023 9th International Conference on Geographical Information Systems Theory, Applications and Management, ATHENA Research & Innovation Information Technologies; Setubal Polytechnic University; Universidade Nova de Lisboa, Apr 2023, Prague, Czech Republic. pp.15-26, ⟨10.5220/0011723000003473⟩
Conference papers
hal-04080531v1
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Mapping the biophysical sensitivity of agrosystems in the central Sahel using machine learning models5th Euro-Mediterranean Conference for Environmental Integration (EMCEI-2023), Oct 2023, Rende, Italy
Conference papers
hal-04254252v1
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Multi-temporal recognition of built-up area and land cover changes using machine learning approach in the Metropolis of Aix-Marseille-Provence in FranceJoint Urban Remote Sensing Event (JURSE) 2023, FORTH; RSLab; IEEE; ISPRS, May 2023, Heraklion, Greece. pp.1-4, ⟨10.1109/JURSE57346.2023.10144184⟩
Conference papers
hal-04127519v1
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Multiscale and multi-temporal modelling of urban change structures in the Subarctic East Siberian metropolis of YakutskXXIX Conference of the International Seminar on Urban Form: Urban Redevelopment and Revitalisation A Multidisciplinary Perspective, University of Lodz; Cracow University of Technology,; Lodz University of Technology, Sep 2022, Łódź, Poland
Conference papers
hal-03787176v1
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Spatial modelling of the Arctic metapolis: YakutskGIS for Digital Development 2021: Application of GIS and Remote Sensing in Science and Management, North Eastern Federal University, Dec 2021, Yakutsk, Russia
Conference papers
hal-03502208v1
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