Abstract:
Arctic sea ice is a vital indicator of global environment change, influencing the Earth’s surface energy balance, air-sea heat and mass exchange, atmospheric circulation and thermohaline circulation. In the past 40 years, the loss of Arctic sea ice extent and volume is unprecedented, which is in strong relationship with the replacement of the multi-year ice (MYI) by the first-year ice (FYI). Microwave remote sensing is an effective and commonly used technique in large-scale sea ice type classification (MYI and FYI), whereas current Arctic sea ice type products show deficiencies in mapping MYI with higher spatial resolution or longer time series. This talk will introduce a new Arctic sea ice classification dataset using multi-source microwave scatterometers and radiometers. The dataset is with longer series (2002-2020) and higher spatial resolution (4.45km). Besides, an evaluation of sea ice type classifications using data from Chinese satellites (FY-3C and CFOSAT) will also be presented.
Short-bio:
Zhilun Zhang is currently a PhD candidate of School of Geospatial Engineering and Science, Sun Yat-sen University (Supervisor: Prof. Fengming Hui). His research interests focus on Arctic sea ice classification and air-ice-sea heat exchange.
