Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning

• Published in: Remote Sensing
• Main Authors: Celia A. Baumhoer, Andreas J. Dietz, C. Kneisel, C. Kuenzer
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2019
• Subjects: Antarctica; coastline; deep learning; semantic segmentation; Getz Ice Shelf; calving front; glacier front; U-Net; convolutional neural network; glacier terminus; Antarctic; The Antarctic; Getz; DeVicq Glacier; Antarc*; Ice Sheet; Ice Shelf; Sea ice
• Online Access: https://doi.org/10.3390/rs11212529

Sea level rise contribution from the Antarctic ice sheet is influenced by changes in glacier and ice shelf front position. Still, little is known about seasonal glacier and ice shelf front fluctuations as the manual delineation of calving fronts from remote sensing imagery is very time-consuming. Th...