SenForFlood

Getting accurate information about the extent and severity of floods is essential for planning proper humanitarian emergency assistance. SentForFlood is a global dataset for training deep learning models for mapping flood extent, including images before and during flood from Sentinel-1 and -2, terrain elevation and slope, Land Use and Land Cover (LULC), and flood masks. The samples included in each flood event were selected by analysts considering quality of flood mask and completeness of the available satellite imagery. The dataset incorporated data from over 350 distinct flood events, encompassing all continents except Antarctica. The dataset was tested by training a convolutional neural network for detecting floods without permanent water bodies and the results are discussed. We expect that the dataset will facilitate the development of robust, transferable models for automatic flood mapping, thereby contributing to the humanitarian emergency repose in crisis situations. More information about the dataset, including useful usage scripts and examples, can be found in the project's Github page.