Aksoy, HasanKaptan, Sinan2025-03-232025-03-2320221010-60491752-0762https://doi.org/10.1080/10106049.2020.1778102https://hdl.handle.net/11486/5796This study aimed to simulate and assess forest cover and land use/land cover (LULC) changes between 2019 and 2039 using the cellular automata-Markov model. The performance of the model was evaluated by comparing the 2019 simulation map with the 2019 supervised classified map, and it was found to be reliable, with a similarity rate of 85.43%. The LULC analysis and estimates were carried out for a total of six classes: coniferous, broad-leaf, mixed forest, settlement, water and agriculture. Between 1999 and 2019, the areas of total forest increased by 17.4%, settlement by 84.6% and water by 20.1%, whereas the agriculture area decreased by 33.2%. According to 2019-2039 land use/cover simulation results, there were decreases of 2.4% in total forest area and 3.7% in residential and water surface areas, but a 6.9% decrease in the agriculture class. Tracking these changes will contribute to decision making and strategy development efforts of forest planners and managers.eninfo:eu-repo/semantics/closedAccessForest structureLULCCA-Markovremote sensingGISArticle3741183120210.1080/10106049.2020.17781022-s2.0-85087153212Q1WOS:000546968700001Q2