Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery

• Main Author: Pedersen, Joakim Lillehaug
• Format: Master Thesis
• Language: English
• Published: UiT Norges arktiske universitet 2019
• Subjects: VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412; VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411; VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering; visualisering; signalbehandling; bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation; visualization; signal processing; image processing: 429; Synthetic Aperture Radar; Sentinel-1; Machine learning; Gaussian IA-classifier; FYS-3941; The Sentinel; Sea ice
• Online Access: https://hdl.handle.net/10037/17253

In this thesis,we investigate the potential use of in-situ sea ice observations from the Ice Watch database as ground truth data for an automated classification algorithm of sea ice types from Sentinel-1 SAR data. The Ice Watch database and the Sentinel-1 data archive are searched for in-situ observ...