A Deep-learning And Transfer-learning Hybrid Aerosol Retrieval Algorithm For A Geostationary Meteorological Satellite

A study published in Engineering presents a hybrid aerosol retrieval algorithm for a geostationary meteorological satellite. The algorithm utilizes deep learning and transfer learning to address challenges posed by traditional physical algorithms and limited ground-based sunphotometer sites. Independent validation shows high accuracy in retrieving aerosol optical depth, with potential for application to other multispectral sensors.