Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan
Alipbeki O. Alipbekova C. Mussaif G. Grossul P. Zhenshan D. Muzyka O. Turekeldiyeva R. Yelubayev D. Rakhimov D. Kupidura P. Aliken E.
February 2024Multidisciplinary Digital Publishing Institute (MDPI)
Agronomy
2024#14Issue 2
Changes occurring because of human activity in protected natural places require constant monitoring of land use (LU) structures. Therefore, Korgalzhyn District, which occupies part of the Korgalzhyn State Natural Reserve territory, is of considerable interest. The aim of these studies was to analyze changes in the composition of the land use/land cover (LULC) of Korgalzhyn District from 2010 to 2021 and predict LU transformation by 2030 and 2050. Landsat image classification was performed using Random Forest on the Google Earth Engine. The combined CA-ANN model was used to predict LULC changes by 2030 and 2050, and studies were carried out using the MOLUSCE plugin. The results of these studies showed that from 2010 to 2021, there was a steady increase in the share of ploughable land and an adequate reduction in grassland. It is established that, in 2030 and 2050, this trend will continue. At the same time, there will be no drastic changes in the composition of other land classes. The obtained results can be helpful for the development of land management plans and development policies for the Korgalzhyn District.
CA-ANN , change analysis , google earth engine , Korgalzhyn District , land use land cover , MOLUSCE , prediction , Random Forest
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Department of Geodesy and Geoinformatics, Al-Faraby Kazakh National University, Farabi Avenue 71, Almaty, 050040, Kazakhstan
Department of Biology, Plant Protection and Quarantine, S. Seifullin Kazakh Agrotechnical Research University, Astana, 001011, Kazakhstan
Department of Geodesy and Cartography, S. Seifullin Kazakh Agrotechnical Research University, Astana, 001011, Kazakhstan
Department of Management and Marketing, S. Seifullin Kazakh Agrotechnical Research University, Astana, 001011, Kazakhstan
Department of Cadastre, S. Seifullin Kazakh Agrotechnical Research University, Astana, 001011, Kazakhstan
Department of Ecology, M.H.Dulaty Taraz Regional University, Taraz, 160000, Kazakhstan
Department of Computer Sciences, S. Seifullin Kazakh Agrotechnical Research University, Astana, 001011, Kazakhstan
Faculty of Geodesy and Cartography, Warsaw University of Technology, Warsaw, 00-661, Poland
Department of Geodesy and Geoinformatics
Department of Biology
Department of Geodesy and Cartography
Department of Management and Marketing
Department of Cadastre
Department of Ecology
Department of Computer Sciences
Faculty of Geodesy and Cartography
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