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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Assessment of EOS Aqua AMSR-E Arctic Sea Ice Concentrations Using Landsat-7 and Airborne Microwave Imagery
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Assessment of EOS Aqua AMSR-E Arctic Sea Ice Concentrations Using Landsat-7 and Airborne Microwave Imagery

机译:使用Landsat-7和机载微波成像仪评估EOS Aqua AMSR-E北极海冰的浓度

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摘要

An assessment of Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) sea ice concentrations under winter conditions using ice concentrations derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) imagery obtained during the March 2003 Arctic sea ice validation field campaign is presented. The National Oceanic and Atmospheric Administration Environmental Technology Laboratory's Airborne Polarimetric Scanning Radiometer Measurements, which were made from the National Aeronautics and Space Administration P 3B aircraft during the campaign, were used primarily as a diagnostic tool to understand the comparative results and to suggest improvements to the AMSR-E ice concentration algorithm. Based on the AMSR-E/ETM+ comparisons, a good overall agreement with little bias (~1%) for areas of first year and young sea ice was found. Areas of new ice production result in a negative bias of about 5% in the AMSR-E ice concentration retrievals, with a root mean square error of 8%. Some areas of deep snow also resulted in an underestimate of the ice concentration (~10%). For all ice types combined and for the full range of ice concentrations, the bias ranged from 0% to 3%, and the rms errors ranged from 1% to 7%, depending on the region. The new-ice and deep-snow biases are expected to be reduced through an adjustment of the new-ice and ice-type C algorithm tie points
机译:提出了对先进微波扫描辐射计地球观测系统(AMSR-E)在冬季条件下的海冰浓度的评估,其中使用了从2003年3月在北极海冰验证现场进行的活动中获得的Landsat-7增强型专题测绘仪Plus(ETM +)图像得出的冰浓度。 。由美国国家航空航天局P 3B飞机在战役期间进行的美国国家海洋和大气管理局环境技术实验室的机载极化扫描辐射计测量,主要用作诊断工具,以了解比较结果并提出改进建议。 AMSR-E冰浓度算法。根据AMSR-E / ETM +的比较,发现第一年和年轻海冰区域的总体协议良好,偏差很小(〜1%)。新的产冰面积导致AMSR-E冰浓度反演中的负偏差约为5%,均方根误差为8%。一些深雪地区也导致冰浓度低估(约10%)。对于所有组合类型的冰以及整个浓度范围的冰,偏差的范围从0%到3%,均方根误差范围从1%到7%(取决于区域)。通过调整新冰和冰型C算法的联系点,有望减少新冰和深雪偏差

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