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This short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change\uddetection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image\udprocessing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection\udover these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection\udanalysis. Image classification revealed that there are five significant land use/land cover types, including forest, flooded forest, swamp,\udwater, and other lands (i.e. agriculture, sand, roads, settlement, and open areas). The results indicated that there was increase in flooded\udforest, water, and other lands, while the cover of forest and swamp decreased

SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY