A computer vision approach for satellite-driven wind nowcasting over complex terrains
Décio Alves,
Fábio Mendonça,
Sheikh Shanawaz Mostafa
et al.
Abstract:Accurate wind speed and direction nowcasting in regions with complex terrains remains a challenge, and critical for applications like aviation. This study proposes a new methodology by harnessing Convolutional Neural Networks and Long Short-Term Memory models with satellite imagery to address wind predictions in a complex terrain, centered on Madeira International Airport, Portugal, using satellite data as input. Results demonstrated adeptness in capturing wind transitions, pinpointing shifts up to two hours a… Show more
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