Meteorological Satellite

Meteorological satellites provide crucial observational data for weather forecasting and climate monitoring, aiming to improve prediction accuracy and spatial resolution. Current research emphasizes the use of deep learning, particularly convolutional and transformer networks, often combined with ensemble methods and transfer learning, to analyze satellite imagery and predict various weather phenomena, from wildfires to extreme weather events. These advancements enable more accurate and timely predictions, supporting improved disaster preparedness, resource management, and a deeper understanding of atmospheric processes.