Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 513-520, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
23 Jun 2016
Lele Li, Haihua Chen, and Lei Guan Department of Marine Technology, College of Information Science and Engineering, Ocean University of China, Qingdao, China
Keywords: FY3B, MWRI, Sea Ice Concentration, Snow Depth, Brightness Temperature, Radiometer Abstract. temperatures. Given the high albedo and low thermal conductivity, snow is regarded as one of the key reasons for the amplification of the warming in polar regions. The distributions of sea ice and snow depth are essential to the whole thermal conduction in the Arctic. This study focused on the retrieval of snow depth on sea ice from brightness temperatures of the MicroWave Radiometer Imager (MWRI) onboard the FengYun (FY)-3B satellite during the period from December 1, 2010 to April 30, 2011. After cross calibrated to the Advanced Microwave Scanning Radiometer–EOS (AMSR-E) Level 2A data, the MWRI brightness temperatures were applied to calculate the sea ice concentrations based on the Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm. According to the proportional relationship between the snow depth and the surface scattering in 18.7 and 36.5 GHz, the snow depths were derived. In order to eliminate the influence of uncertainties in grain sizes of snow as well as sporadic weather effects, the seven-day averaged snow depths were calculated. Then the results were compared with the snow depths from the AMSR-E Level 3 Sea Ice products. The bias of differences between the MWRI and the AMSR-E Level 3 products are ranged between −1.09 and −0.32 cm,while the standard deviations and the correlation coefficients are ranged from 2.47 to 2.88 cm and from 0.78 to 0.90 for different months. As a result, it could be summarized that FY3B/MWRI showed a promising prospect in retrieving snow depth on sea ice.
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Citation: Li, L., Chen, H., and Guan, L.: STUDY ON THE RETRIEVAL OF SNOW DEPTH FROM FY3B/MWRI IN THE ATCTIC, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 513-520,, 2016.

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