Research Paper
Year: 2023 | Month: May | Volume: 10 | Issue: 5 | Pages: 255-268
DOI: https://doi.org/10.52403/ijrr.20230532
Monitoring of Land use Dynamics in the Autonomous District of Abidjan Between 2002 and 2022 using the Google Earth Engine platform
Kinakpefan Michel TRAORE
Department of Geography, Jean Lorougnon Guédé University, Daloa, Côte d'Ivoire,
ABSTRACT
In the countries of the South, capital cities such as the Autonomous District of Abidjan polarize both economic activity and demographic growth to such an extent that they are subject to rapid land artificialisation. This artificialization, in conjunction with poorly controlled urbanization, contributes to the thinning of vegetated areas. The objective of this work is to determine the changes in land use and land cover that have occurred in the Autonomous District of Abidjan over the last two decades, 2002 and 2022. The method uses the Random Forest classification algorithm in the Google Earth Engine platform from Landsat composite images. With an overall accuracy of 98.03% in 2002 and 98.7% in 2022 and kappa coefficients of 0.9 in 2002 and 2022, the cartographic and statistical results show important dynamics in land use in the Autonomous District of Abidjan during this period. These dynamics are characterized by a regression of vegetated and hydrographic areas that have lost 61% of their surface to the benefit of the habitat that has increased by 171% from 22.4 thousand hectares to 55.4 thousand hectares.
Keywords: Autonomous District of Abidjan, random forest, google earth engine, urban dynamics, land use and land cover
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