Synthetic hail experiments to assess the performance of drone-based hail photogrammetry

Synthetic hail experiments The data used for assessing the performance of drone-based hail photogrammetry. Three types of hail objects were used: EPS (extended polystyrene) Glass pebbles Ice from a consumer-grade ice-maker The experiments were performed on different types of grass, such as soccer fields, lawns and meadows. The models are trained on a leave-one-out cross-validation (LOOCV) scheme, where the test set is based on one surface, while training and validation sets are based on the rest (randomly split). This is defined as an experiment configuration (a-e), where the name refers to the surface of the test set. Code The code used to create and analyze the data can be found on github: https://github.com/MeteoSwiss/ehw24-hail-photogrammetry