Forecasting Land Use Dynamics in Talas District, Kazakhstan, Using Landsat Data and the Google Earth Engine (GEE) Platform
Seitkazy M. Beisekenov N. Taukebayev O. Zulpykharov K. Tokbergenova A. Duisenbayev S. Sarybaev E. Turymtayev Z.
July 2024Multidisciplinary Digital Publishing Institute (MDPI)
Sustainability (Switzerland)
2024#16Issue 14
This study employs the robust capabilities of Google Earth Engine (GEE) to analyze and forecast land cover and land use changes in the Talas District, situated within the Zhambyl region of Kazakhstan, for a period spanning from 2000 to 2030. The methodology involves thorough image selection, data filtering, and classification using a Random Forest algorithm based on Landsat imagery. This study identifies significant shifts in land cover classes such as herbaceous wetlands, bare vegetation, shrublands, solonchak, water bodies, and grasslands. A detailed accuracy assessment validates the classification model. The forecast for 2030 reveals dynamic trends, including the decline of herbaceous wetlands, a reversal in bare vegetation, and concerns over water bodies. The 2030 forecast shows dynamic trends, including a projected 334.023 km2 of herbaceous wetlands, 2271.41 km2 of bare vegetation, and a notable reduction in water bodies to 24.0129 km2. In quantifying overall trends, this study observes a decline in herbaceous wetlands, bare vegetation, and approximately 67% fewer water bodies from 2000 to 2030, alongside a rise in grassland areas, highlighting dynamic land cover changes. This research underscores the need for continuous monitoring and research to guide sustainable land use planning and conservation in the Talas District and similar areas.
ecological impact , forecasting , GEE , land cover , land use , Landsat satellite data , remote sensing , sustainability
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Space Technologies, and Remote Sensing Center, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan
School of Civil, Environmental and Land Management Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milano, 20133, Italy
Graduate School of Science and Technology, Niigata University, Niigata, Niigata, 950-2181, Japan
Department of Cartography and Geoinformatics, Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan
Department of Geography, Land Management, and Cadastre, Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan
Space Technologies
School of Civil
Graduate School of Science and Technology
Department of Cartography and Geoinformatics
Department of Geography
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