Human Labeled Landsat 8 Contrail

Human-labeled Landsat 8 contrail datasets are crucial for developing accurate automated contrail detection systems, vital for mitigating aviation's climate impact. Research focuses on applying advanced deep learning techniques, such as U-Net and EfficientNet architectures, often incorporating innovative loss functions and data augmentation strategies to overcome challenges posed by limited labeled data and the variability of contrail appearance in satellite imagery. These efforts aim to improve the precision of contrail identification, enabling better modeling of their climate effects and informing strategies for contrail avoidance. The resulting improved detection models will contribute to more effective climate change mitigation efforts within the aviation sector.