WorldFloods Φsat-2 dataset

The WorldFloods Φsat-2 dataset is an adaptation of the WorldFloods v2 dataset created with the purpose of simulating a Φsat-2-like dataset for training Foundation Models for this mission. Φsat-2 images were simulated using the code in the OrbitalAI Challenge. For storing the dataset, we followed the PhiSatNet repo Data Specification Format. Since the WorldFloods v2 dataset contains full flood scenes rather than small patches, we created non-overlapping Train and Validation patches of size 512x512 pixels from the simulated images, and only stored patches with less than 20% cloud cover, as we do on the fly to train the flood segmentation models described in the paper Global flood extent segmentation in optical satellite images. For Test samples, however, we kept the full scenes as this allows a better evaluation of flood detection models. The total size of the dataset is 389 GB.