Remote sensing is an alternative way to help detect seagrass distribution. Seagrass is a flowering plant that can live and reproduce in shallow sea waters. The purpose of this study was to determine the distribution of seagrass in the waters of Kodingareng Lompo Island in 2018, 2020 and 2022 using Landsat 8 imagery data in remote sensing applications. Data processing to determine the distribution and area of ​​seagrass using the lyzenga algorithm method. The image data processing technique used in this study is by using the Arcgis, Er Mapper, and ENVI software applications. The analysis was carried out in this study using two methods, namely spatial analysis and quantitative analysis. Spatial analysis uses the UTM (universal transfer Mercator) coordinate system which uses units of meters so that it allows analysis such as distance and area while quantitative analysis is by interpreting and visualizing to find out the distribution of seagrass. As well as analysis of seagrass distribution by digitizing seagrass distribution. The results showed that seagrass beds in the coastal area of ​​Kodingareng Lompo Island spread along the coast. The distribution area of ​​seagrass beds in the waters of Kodingareng Lompo Island in July 2018, 2020 and 2022 has decreased. In 2018 the distribution area of ​​seagrass beds was 45,7 Ha, in 2020 42,7 Ha, and in 2022 40,9 Ha.