Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows

Mass movement mapping is essential for susceptibility, vulnerability and risk assessments. Various approaches based on Earth observation (EO) data have been used to identify different types of hazards. Object-based image analysis (OBIA) has employed EO-based landslide worldwide. The development application efficient methods recognition are create standards inventory mapping, notably in Brazil where landslides a frequent natural hazard. This study aims detect features differentiate them into shallow debris flows using semi-automated OBIA approach. RapidEye satellite images (5 m) were analysed the Normalized Difference Vegetation Index (NDVI) was calculated. A Digital Elevation Model (DEM) (12.5 its derived products integrated support mapping. results show that method suitable this type hazard potentially use local stakeholders decision-makers disaster management.