This study explored the ability of synthetic aperture radar (SAR) images for landslide detection in a tile level. Applied data are pre- and post-event ALOS-2 products captured in the affected area of 2018 Hokkaido Estern Iburi Earthquake. First, intensity information of the two applied images was extracted in SNAP software. Then the classification indicator-intensity difference absolute value was calculated using the extracted intensity information, and the analysis tiles were generated in ArcGIS software. Finally, the mean of intensity difference absolute value within each tile was calculated and employed to classify landslide and non-landslide areas. Classification results showed that 83.3% of the landslide and non-landslide tiles were distinguished in the study area.