Study on the LandCover Classification using UAV Imagery

The study was carried out using the UAV for analyzing the characteristics of debris in order to present the methodology to estimate the quantitative amount of debris caught in small river facilities. A total of six small rivers that maintained the form of a natural river were selected for collecting UAV images, and the grouping of each target in the image was carried out using the object-based classification method, and based on the object-based classification result of the UAV images, the land cover classification for the status of factors causing the generation of debris for six target sections was carried out by applying the screen digitizing method. In addition, in order to verify the accuracy of the classification result, the error matrix was performed, securing the reliability of the result. The accuracy analysis result showed that for all six target sections, the overall accuracy was 93.95% and the Kappa coefficient was 0.93, showing an excellent result.