Open AccessResearch on Fast Extraction Method of Sea Ice Boundary in Arctic Channel Based on MODIS Data
Author(s) -
Yiman Yang,
Liwen Cheng,
Lulu Tang,
Jian Dong
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/310/2/022049
Subject(s) - sea ice , arctic , arctic ice pack , sea ice concentration , channel (broadcasting) , remote sensing , noise (video) , boundary (topology) , environmental science , sea ice thickness , the arctic , geology , meteorology , climatology , oceanography , computer science , geography , artificial intelligence , image (mathematics) , telecommunications , mathematics , mathematical analysis
In order to study the distribution of sea ice in the Arctic Channel, sea ice along the Arctic Channel was extracted based on MODIS remote sensing data. Supervised classification method is used to establish a noise removal method for short time series to obtain the sea ice distribution boundary. From this, the navigability of the Arctic waterway is analyzed. The results show that although MODIS data contain more noise effects, more accurate sea ice distribution information can be obtained by effective noise removal methods, which provides support for the judgment of navigation capacity of Arctic waterway.