Abstract
The phenomenon of urban planning in favor of agricultural land on the outskirts of the city of Marrakech is in full expansion. The study of land use changes is of pivotal interest for the knowledge, management, monitoring, surveillance, and evaluation of our environment. Indeed, the city of Marrakech has been experiencing exponential population growth for several decades. This phenomenon has led to a dynamic urban characterized by the increase and densification of urbanized areas (e.g. buildings and infrastructures) which leads to the occupation of natural spaces. To this end, this study aims at highlighting the mapping and evolution of land use in the city of Marrakech from Landsat satellite image data (1989, 2005 and 2020) through the application of the Image classification using Machine Learning algorithms with the QGis Orfeo Toolbox, which facilitate the production of land use maps at three dates as well as an evolution map of the conurbation and also to quantify the obtained results. The directions of extension of the urban area were defined and thus demonstrate its impact on the agricultural land located in the peri-urban area.
Highlights
1 Since 1950, world urban population and urban infrastructure has grown rapidly (United Nations Population Division)
This study aims at highlighting the mapping and evolution of land use in the city of Marrakech from Landsat satellite image data (1989, 2005 and 2020) through the application of the Image classification using Machine Learning algorithms with the QGis Orfeo Toolbox, which facilitate the production of land use maps at three dates as well as an evolution map of the conurbation and to quantify the obtained results
Two methodological approaches were adopted to carry out this work, it is the method of land use mapping of the urban municipality of Saada by diachronic study from 1989 to 2020, as well as the extraction of the built environment and the temporal evolution of the urban space on 3 dates 1989, 2005 and 2020
Summary
The tourism sector became an agent of economic development as well as an engine of development and new urban dynamicsAs a result, the city is facing several dysfunctions such as peripheral extensions, a lack of global cohesion and significant urbanization. All this tends to become a direct menace to local agricultural development. The Image classification using Machine Learning algorithms with the QGis Orfeo Toolbox was used These results identified the temporal and spatial evolution of land use in the city of Marrakech over a period of thirty-two years (1989 to 2020).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
