Abstract

Sea ice analysis using remote sensing data and statistical methods
Track: Statistical Analysis
Authors: Jihye Ahn

Arctic sea ice is very important on earth and it is necessary to monitor it continually. There are a variety of climate factors that affect the creation, movement and decline of sea ice and those have high corelation with changes of sea ice extent. So it can be performed analyze the time-series changes of Arctic sea ice using these factors as independent variables in statistical methods and satellite remote sensing data. Finally, it is possible to predict the changes in the near future.