When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review
Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-based models in the field of disaster risk reduction (DRR) contributing to tools such as disaster early warning systems.Given the number of in situ and remote (e.g.radiosonde/satellite) monitoring devices, there is a common perception that there are no limits