Dataset Floods South Sudan

This dataset contains the static and dynamic covariates used to train a flood detection model for South Sudan. Static covariates include terrain-derived variables (Digital Elevation Model, slope, curvature, HAND, and Topographic Wetness Index), while dynamic covariates consist of Sentinel-1 SAR and Sentinel-2 optical imagery temporally aligned with flood events reported by UNOSAT/OCHA HDX. Flood extent polygons were refined using SAR-based water segmentation through principal component analysis (PCA) and thresholding, generating high-resolution flood point patterns used as reference data for model training. The dataset integrates topographic, hydrological, and multi-sensor remote sensing information to support Bayesian flood susceptibility and flood occurrence modeling.