Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B

• Published in: Annals of Glaciology
• Main Authors: A. Malin Johansson, Eirik Malnes, Sebastian Gerland, Anca Cristea, Anthony P. Doulgeris, Dmitry V. Divine, Olga Pavlova, Tom Rune Lauknes
• Format: Article in Journal/Newspaper
• Language: English
• Published: Cambridge University Press 2020
• Subjects: Sea ice; remote sensing; sea-ice growth and decay; Meteorology. Climatology; QC851-999; Arctic; Svalbard; Ny-Ålesund; Asar; Rijpfjorden; Annals of Glaciology; Kongsfjord*; Kongsfjorden; Ny Ålesund; Rijpfjord*
• Online Access: https://doi.org/10.1017/aog.2019.52; https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68

Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images....