Akay, Abdullah EminGencal, B.Tas, I2021-03-202021-03-2020172194-90422194-9050http://doi.org/10.5194/isprs-annals-IV-4-W4-31-2017https://hdl.handle.net/20.500.12885/10304th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYAkay, Abdullah Emin/0000-0001-6558-9029This short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change detection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image processing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are five significant land use/land cover types, including forest, flooded forest, swamp, water, and other lands (i.e. agriculture, sand, roads, settlement, and open areas). The results indicated that there was increase in flooded forest, water, and other lands, while the cover of forest and swamp decreased.eninfo:eu-repo/semantics/openAccessSpatiotemporal changeLand use/Land coverProtected areasKaracabey flooded forestConference Object10.5194/isprs-annals-IV-4-W4-31-20174-4W43135WOS:000568997100006N/AN/A