An effective blended Sea-Ice Concentration (SIC) product has been developed that utilizes ice concentrations from passive microwave and visible/infrared satellite instruments, specifically the Advanced Microwave Scanning Radiometer-2 (AMSR2) and the Visible Infrared Imaging Radiometer Suite (VIIRS). The blending takes advantage of the all-sky capability of the AMSR2 sensor and the high spatial resolution of VIIRS, though it utilizes only the clear sky characteristics of VIIRS. After both VIIRS and AMSR2 images are remapped to a 1 km EASE-Grid version 2, a Best Linear Unbiased Estimator (BLUE) method is used to combine the AMSR2 and VIIRS SIC for a blended product at 1 km resolution under clear-sky conditions. Under cloudy-sky conditions the AMSR2 SIC with bias correction is used. For validation, high spatial resolution Landsat data are collocated with VIIRS and AMSR2 from 1 February 2017 to 31 October 2019. Bias, standard deviation, and root mean squared errors are calculated for the SICs of VIIRS, AMSR2, and the blended field. The blended SIC outperforms the individual VIIRS and AMSR2 SICs. The higher spatial resolution VIIRS data provide beneficial information to improve upon AMSR2 SIC under clear-sky conditions, especially during the summer melt season, as the AMSR2 SIC has a consistent negative bias near and above the melting point.

中文翻译：

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来自 AMSR2 和 VIIRS 的混合海冰浓缩产品

已经开发出一种有效的混合海冰浓度 (SIC) 产品，该产品利用来自被动微波和可见光/红外卫星仪器的冰浓度，特别是高级微波扫描辐射计 2 (AMSR2) 和可见红外成像辐射计套件 (VIIRS)。混合利用了 AMSR2 传感器的全天空能力和 VIIRS 的高空间分辨率，尽管它只利用了 VIIRS 的晴空特性。在 VIIRS 和 AMSR2 图像都重新映射到 1 公里 EASE-Grid 第 2 版后，最佳线性无偏估计 (BLUE) 方法用于在晴空条件下以 1 公里分辨率将 AMSR2 和 VIIRS SIC 组合在一起。在多云天空条件下，使用具有偏置校正的 AMSR2 SIC。为了验证，2017 年 2 月 1 日至 2019 年 10 月 31 日期间，高空间分辨率 Landsat 数据与 VIIRS 和 AMSR2 并置。计算了 VIIRS、AMSR2 和混合场的 SIC 的偏差、标准偏差和均方根误差。混合 SIC 的性能优于单独的 VIIRS 和 AMSR2 SIC。更高的空间分辨率 VIIRS 数据为在晴空条件下改善 AMSR2 SIC 提供了有益的信息，尤其是在夏季融化季节，因为 AMSR2 SIC 在熔点附近和熔点以上具有一致的负偏差。