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首页> 外文会议>Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop on >Estimating sea ice thickness using MODIS data: A case study in the Bohai Sea, China
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Estimating sea ice thickness using MODIS data: A case study in the Bohai Sea, China

机译：利用MODIS数据估算海冰厚度：以中国渤海为例

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摘要

In this paper, we present a direct approach to effectively estimate sea ice thickness over a large spatial area of the Bohai Sea using EOS MODIS data. It is based on the model of an exponential relationship between albedo and thickness of sea ice. 18 images of EOS MODIS L1B data in the 2009–2010 winter were used to estimate the sea ice thickness and to monitor its spatiotemporal evolutions in the Bohai Sea. The estimated thickness results are validated by using the Lebedev and Zubov models as well as the forecasting data from the National Marine Environmental Forecasting Centre of China. Model correlation coefficients (R2=0.84−0.85) and close similarity in thickness prediction attest to the reliability and applicability of the proposed method. The average ice thickness of the whole Bohai Sea ranged from 3 to 21 cm, and the estimated maximum was about 40 cm in Liaodong Bay. Multiple-temporal maps of sea-ice thickness show that the sea ice first formed along the coastline, and gradually expanded away from the shore. Sea ice first appeared in the Liaodong Bay, and hugged the coast southwards to Bohai and Laizhou Bay. Our results also show that sea ice extent and thickness are significantly correlated with the value of θ, the difference between cumulative FDD (Freezing Degree Days) and TDD (Thawing Degree Days).
机译：在本文中，我们提出了一种直接的方法，可以使用EOS MODIS数据有效地估算渤海大空间区域的海冰厚度。它基于反照率与海冰厚度之间的指数关系模型。使用2009-2010年冬季的EOS MODIS L1B数据的18张图像来估计海冰厚度并监测其在渤海的时空演变。估计的厚度结果通过使用Lebedev和Zubov模型以及来自中国国家海洋环境预测中心的预测数据进行了验证。模型相关系数（R 2 = 0.84-0.85）和厚度预测的相似度证明了该方法的可靠性和适用性。整个渤海的平均冰层厚度在3到21厘米之间，辽东湾的最大估计冰层厚度约为40厘米。海冰厚度的多时相图显示，海冰首先沿着海岸线形成，然后逐渐远离海岸。海冰首先出现在辽东湾，并向南紧贴渤海湾和莱州湾。我们的结果还表明，海冰的范围和厚度与θ值显着相关，θ值与累积FDD（冻结度天数）和TDD（解冻度天数）之间的差值相关。

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