基于多源中高分辨率遥感数据提取渤海辽东湾海冰要素信息

海冰厚度是海冰参数中最为重要和最难获取的参数之一,对海洋灾害预警、气候变化等研究均有重要意义。本文选取2018年1月到3月的10景多源(Sentinel-2、Landsat-8、Landsat-7)中高分辨率影像对渤海辽东湾的海冰进行了监测。基于归一化水体指数进行海陆分割,通过分析海水与海冰光谱特征差异,利用最大似然法监督分类提取海冰区域,运用反照率与海冰厚度之间的经验指数模型反演海冰厚度,将反演结果与Zubov模型计算的冰厚结果进行比较,相关系数为0.884,证明了中高分辨率光学遥感数据在海冰厚度反演中的可行性。同时发挥中高分辨率遥感数据的优势,利用冰厚信息提取海冰类型、估算海冰资源量,为渤海海冰的防灾减灾以及海冰资源利用提供参考。

Extraction of sea ice element information in Liaodong Bay of the Bohai sea based on multi-source medium and high resolution remote sensing data

Sea ice thickness is one of the most important and inaccessible parameters of sea ice,which is of great significance to marine disaster warning and climate change.In this paper,10 multi-source(Sentinel-2,Landsat-8,Landsat-7)medium and high-resolution images from January to March 2018 are selected to monitor the sea ice in Liaodong Bay of the Bohai Sea.The sea and land segmentation is based on the normalized water body index.By analyzing the spectral characteristics of sea water and sea ice,the sea ice region is extracted by the maximum likelihood method,and the sea ice thickness is inverted by the exponential albedo model.The inversion results are compared with the ice thickness calculated by Zubov empirical model.The correlation coefficient is 0.884,which proves the feasibility of medium high resolution optical remote sensing data in sea ice thickness inversion.At the same time,taking advantage of the medium and high resolution remote sensing data,using ice thickness information to extract sea ice types and estimate sea ice resources,it can provide reference for the prevention and mitigation of sea ice disaster and the utilization of sea ice resources in the Bohai Sea.