Tag Archives: contrail detection

Enhancing GOES-16 Contrail Segmentation through Ensemble Neural Network Modeling and Optical Flow Corrections

Irene Ortiz leads groundbreaking research introducing the Contrail Detection and Segmentation Ensemble Model (CDSEM), an AI system that identifies aviation-induced contrails with 93% accuracy. This innovation offers valuable tools for understanding aviation’s environmental impact and addressing its role in global warming. The preprint is now available on TechRxiv: Irene Ortiz, Javier García-Heras, Amin Jafarimoghaddam, etContinue reading “Enhancing GOES-16 Contrail Segmentation through Ensemble Neural Network Modeling and Optical Flow Corrections”