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Sea ice has an important role of reflecting the solar radiation back into space. In addition, the heat strongly affected by the ice thickness difference. Therefore, ice previous study, the authors have Sea of Okhotsk. The basic idea of the algorithm is to use the brightness temperature scatter plots of difference (Vice areas. However, two problems was that some of the consolidated ice were mis extraction algorithm to solve these problems. By adjusting the scatter plots of AMSR2 19GHz extracted in the Bering Sea. The authors also introduced an equation using the brightness and horizontal polarization to reject the thin ice area misextracted AMSR2 data, most of the Lawrence with good result. The thin ice area extracted data are planed to be approved by JAXA Since 1978, passive microwave radiometers, including AMSR2 onboard GCOM the earth for 40 years. The long the passive microwave observation showed clear decline trend of the Arctic sea ice cover 2018 etc.). The warming in the Fifth Assessment Report of IPCC (2014). Usually, sea ice extent is calculated from sea ice concentration derived from brightness temperatures measured by passive microwave radiometers. fundamental parameter of sea ice which can be calculated from brightness temper radiometers. There are number of sea ice concentration algorithms including NASA Team Algorithm (Cavarieli et al., 1984), Bootstrap Algorithm (Comiso, 1995) (Svendsen et al. Since the heat thickness (Maykut, 1978) parameter of sea ice. However, the sea ice thickness information cannot be estimated from the sea ice concentration data. on estimating ice thi acquired from passive microwave radiometers onboard satellites have been done in the past inc (2002), Martin et al. (2005), and Tamura et al. the detailed validatio thickness is still on the way. Estimating ice thickness from passive microwave radiometer is not easy. been develop brightness temperature scatter plots o polarization difference (V Sea of Okhotsk “thin ice” is defined as the ice which thickness is around less than 30cm. Cho et al *Kohei Cho, Tokai University Research & Information Center, 228 Japan THE NORTHERN HEMISPHERE USING ASMR2 DATA

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

THIN ICE AREA EXTRACTION IN THE SEASONAL SEA ICE ZONES OF THE NORTHERN HEMISPHERE USING MODIS DATA