One of the important roles of seagrass habitat in the marine environment is as habitat for various types of marine biota. In Indonesia, the availability of spatial information of seagrass beds still leave a large gap, so it is necessary to keep on developing methods and mapping the seagrass ecosystems. This research utilized SPOT-7 imagery as the input to obtain spatial information of seagrass distribution in the coastal area of Wawonii Island, Southeast Sulawesi. The imagery also used to obtain water depth, especially the location where seagrass beds were found. Image transformation into depth was done using band ratio algorithm, while for seagrass distribution was obtained by supervised classification using MLH algorithm on pixel-based method. Both methods were applied using field information and secondary data obtained from several sources as references in performing digital image processing. The study focused on the western and northern sides of Wawonii Island, particularly in the shallow waters of Wawonii Barat, Wawonii Utara, and Wawonii Timur Laut Subdistrict. The result of satellite image classification shows the distribution of seagrass alongside the focused study of the Island with different thickness. The seagrass distribution zone is mainly determined by depth, where the distribution in this location is commonly less than 2m of water depth.