Detection of glacier calving margins with convolutional neural networks: A case study

• Main Authors: Mohajerani, Y, Wood, M, Velicogna, I, Rignot, E
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: eScholarship, University of California 2019
• Subjects: calving front; image segmentation; U-Net; convolutional neural network; machine learning; Greenland; Physical Geography and Environmental Geoscience; Geomatic Engineering; Classical Physics; Kangerlussuaq; Antarc*; Antarctica; glacier; Jakobshavn
• Online Access: https://escholarship.org/uc/item/9pj5t0zx

The continuous and precise mapping of glacier calving fronts is essential for monitoring and understanding rapid glacier changes in Antarctica and Greenland, which have the potential for significant sea level rise within the current century. This effort has been mostly restricted to the slow and pai...