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: Johansson, A. Malin, Malnes, Eirik, Gerland, Sebastian, Cristea, Anca, Doulgeris, Anthony P., Divine, Dmitry V., Pavlova, Olga, Lauknes, Tom Rune
• Format: Article in Journal/Newspaper
• Language: English
• Published: Cambridge University Press (CUP) 2020
• Subjects: Arctic; Asar; Ny-Ålesund; Rijpfjorden; Svalbard; Annals of Glaciology; Kongsfjord*; Kongsfjorden; Ny Ålesund; Rijpfjord*; Sea ice
• Online Access: http://dx.doi.org/10.1017/aog.2019.52; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305519000521

Abstract 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 SA...