A Deep-learning And Transfer-learning Hybrid Aerosol Retrieval Algorithm

A study published in Engineering introduces a hybrid aerosol retrieval algorithm that combines deep learning and transfer learning to address challenges in traditional physical algorithms. The algorithm has been shown to accurately retrieve aerosol optical depth data from geostationary meteorological satellites, with high accuracy and the ability to capture temporal evolution during extreme aerosol events.