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MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing - Application to LEO and GEO Sensors
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In this paper we leverage and apply state-of-theart AI techniques to satellite remote sensing of temperature, moisture, surface, and cloud parameters in all-weather, allsurface conditions, from both microwave and infrared sensors. The Multi-Instrument Inversion and Data Assimilation Preprocessing System, Artificial Intelligence version, or MIIDAPS-AI for short, is valid for both polar and geostationary microwave and infrared sounders and imagers as well as for pairs of combined infrared and
doi:10.1109/jstars.2021.3104389
fatcat:dh7afoj7qnei5emb3bfz4icbza