Pan-Arctic lead detection from MODIS thermal infrared imagery
Pan-Arctic lead detection from MODIS thermal infrared imagery
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DOI：
10.3189/2015aog69a615
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发表时间：
2015
影响因子：
2.9
通讯作者：
S. Willmes;G. Heinemann
中科院分区：
文献类型：
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作者：
S. Willmes;G. Heinemann
摘要冰穴和冰芯是冬季北极海冰覆盖的关键要素。它们在表面热量损失、潜在的冰形成以及因此在季节性海冰收支方面发挥着至关重要的作用。虽然冰穴一般大得足以用无源微波卫星传感器进行观测，但对狭窄的冰穴进行监测需要使用空间分辨率较高的数据。我们应用和评估不同的铅分割技术的基础上海冰表面温度测量的中分辨率成像光谱仪（MODIS）。每日铅合成图表明存在云的文物，产生的模糊性在分割过程中，在中分辨率成像光谱仪云掩模的缺点。因此，实现模糊云伪影过滤器以减轻这些影响和相关的潜在的引线错误分类。该滤波器是调整与参考数据从热红外图像序列，并适用于每日的MODIS数据从2008年1月至4月。每日铅产品可以用来推断冬季海冰铅的结构和动力学，并评估北冰洋的季节性分歧模式。
Abstract Polynyas and leads are key elements of the wintertime Arctic sea-ice cover. They play a crucial role in surface heat loss, potential ice formation and consequently in the seasonal sea-ice budget. While polynyas are generally sufficiently large to be observed with passive microwave satellite sensors, the monitoring of narrow leads requires the use of data at a higher spatial resolution. We apply and evaluate different lead segmentation techniques based on sea-ice surface temperatures as measured by the Moderate Resolution Imaging Spectroradiometer (MODIS). Daily lead composite maps indicate the presence of cloud artifacts that arise from ambiguities in the segmentation process and shortcomings in the MODIS cloud mask. A fuzzy cloud artifact filter is hence implemented to mitigate these effects and the associated potential misclassification of leads. The filter is adjusted with reference data from thermal infrared image sequences, and applied to daily MODIS data from January to April 2008. The daily lead product can be used to deduct the structure and dynamics of wintertime sea-ice leads and to assess seasonal divergence patterns of the Arctic Ocean.