A computer vision approach for satellite-driven wind nowcasting over complex terrains

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 p...

Full description

Bibliographic Details

Published in:	Environmental Research Communications
Main Authors:	Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	environmental remote sensing atmospheric science with AI atmospheric modeling wind forecast
Online Access:	https://doi.org/10.1088/2515-7620/ad4984