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Friday, November 6, 2020. 12:00 PM. Webinar: Development and Applications of Dense Optical Flow for New Generation Satellite Imagery. Jason Apke, Cooperative Institute for Research in the Atmosphere (CIRA). Sponsored by STAR Science Seminar Series. More information here.

The science of computing brightness motion in imagery pairs and sequences at every image pixel, or so-called “Dense Optical Flow” (DOF), has advanced considerably in the last four decades to support applications like objective robotic vision, autonomous driving, augmented reality, and motion picture special effects. While seldom explored, DOF derivation is now enabled in visible and infrared satellite imagery by the spatial and temporal resolution of new-generation instruments like the Advanced Baseline Imager on the Geostationary Operational Environmental Satellite (GOES)-R series platform. DOF derivation from satellite imagery would
have a variety of unique applications that are beneficial for research, forecasting, and decision-making products currently in development. These applications include atmospheric motion vector retrieval, temporal brightness interpolation, feature tracking, feature nowcasting, image stereoscopy, and semi-Lagrangian cloud-top cooling derivation.