Abstract
Abstract. Sea ice has an important role of reflecting the solar radiation back into space. However, once the sea ice area melts, the area starts to absorb the solar radiation which accelerates the global warming. This means that the trend of global warming is likely to be enhanced in sea ice areas. In this study, the authors have developed a method to extract thin ice area using reflectance data of MODIS onboard Terra and Aqua satellites of NASA. The reflectance of thin sea ice in the visible region is rather low. Moreover, since the surface of thin sea ice is likely to be wet, the reflectance of thin sea ice in the near infrared region is much lower than that of visible region. Considering these characteristics, the authors have developed a method to extract thin sea ice areas by using the reflectance data of MODIS (NASA MYD09 product, 2017) derived from MODIS L1B. By using the scatter plots of the reflectance of Band 1 (620 nm–670 nm) and Band 2 (841 nm–876 nm)) of MODIS, equations for extracting thin ice area were derived. By using those equations, most of the thin ice areas which could be recognized from MODIS images were well extracted in the seasonal sea ice zones in the Northern Hemisphere, namely the Sea of Okhotsk, the Bering Sea and the Gulf of Saint Lawrence. For some limited areas, Landsat-8 OLI images were also used for validation.
Highlights
The time series observations by the passive microwave radiometers onboard satellites strongly suggest the large decadal decline trend of the Arctic sea ice cover (Comiso, 2012, JAXA, 2012, NSIDC, 2018 etc.)
Cho et al (2011, 2012) has done detailed studies on comparing the in situ ice thickness measurement result with the data observed by optical sensors such as RSI on FORMOSAT-2 and MODIS on Aqua/Terra
EXTRACTED RESULT The authors have applied this algorithm to the thee seasonal sea ice zones in the northern hemisphere which are the Sea of Okhotsk, the Bering Sea, and the Gulf of Saint Lawrence
Summary
The time series observations by the passive microwave radiometers onboard satellites strongly suggest the large decadal decline trend of the Arctic sea ice cover (Comiso, 2012, JAXA, 2012, NSIDC, 2018 etc.). Cho et al (2011, 2012) has done detailed studies on comparing the in situ ice thickness measurement result with the data observed by optical sensors such as RSI on FORMOSAT-2 and MODIS on Aqua/Terra. The authors have developed a method to extract thin ice area in the Sea of Okhotsk using data of MODIS onboard Terra and Aqua satellites (Hayashi et al, 2016). Considering the spatial resolution of MODIS, the ice thickness estimation is not considered in this method This time, the authors have applied the algorithm to the other seasonal sea ice zones in the Northern Hemisphere i.e. the Sea of Bering and the Gulf of Saint Lawrence
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