| YUAN Shuai,GU Wei,LIU Chengyu,XIE Feng. 2017. Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea. Acta Oceanologica Sinica, 36(1):80－89 |
| Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea |
| 基于高光谱遥感的渤海海冰厚度半经验模型 |
| Received:January 05, 2016 Revised:July 08, 2016 |
| DOI：10.1007/s13131-017-0996-0 |
| Key words:Bohai Sea sea ice thickness hyperspectral remote sensing semi-empirical model |
| 中文关键词: 渤海 海冰厚度 高光谱遥感 半经验模型 |
| 基金项目:The National Natural Science Fundation of China under contract No. 41306091; the Public Science and Technology Research Funds Projects of Ocean under contract Nos 201105016 and 201505019. |
| Author Name | Affiliation | E-mail | | YUAN Shuai | National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China | | | GU Wei | State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China | weigu@bnu.edu.cn | | LIU Chengyu | Key Laboratory of Spatial Active Opto-electronic Techniques, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China | | | XIE Feng | Key Laboratory of Spatial Active Opto-electronic Techniques, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China | |
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| Abstract: |
| Sea ice thickness is one of the most important input parameters for the prevention and mitigation of sea ice disasters and the prediction of local sea environments and climates. Estimating the sea ice thickness is currently the most important issue in the study of sea ice remote sensing. With the Bohai Sea as the study area, a semi-empirical model of the sea ice thickness (SEMSIT) that can be used to estimate the thickness of first-year ice based on existing water depth estimation models and hyperspectral remote sensing data according to an optical radiative transfer process in sea ice is proposed. In the model, the absorption and scattering properties of sea ice in different bands (spectral dimension information) are utilized. An integrated attenuation coefficient at the pixel level is estimated using the height of the reflectance peak at 1 088 nm. In addition, the surface reflectance of sea ice at the pixel level is estimated using the 1 550-1 750 nm band reflectance. The model is used to estimate the sea ice thickness with Hyperion images. The first validation results suggest that the proposed model and parameterization scheme can effectively reduce the estimation error associated with the sea ice thickness that is caused by temporal and spatial heterogeneities in the integrated attenuation coefficient and sea ice surface. A practical semi-empirical model and parameterization scheme that may be feasible for the sea ice thickness estimation using hyperspectral remote sensing data are potentially provided. |
| 中文摘要: |
| 无论是海冰灾害防灾减灾，还是冰情预报，海冰厚度都是最重要的输入参数之一。海冰厚度估算也是目前遥感监测海冰研究领域中最重要的问题。本文以渤海为研究区域，依据海冰光学辐射传输过程，在已有水深估算模型基础上，充分利用海冰在不同波段的吸收和散射特性（光谱维信息），提出了一个以高光谱遥感数据为基础的适用于一年生海冰厚度半经验模型（Semi-Empirical Model of Sea Ice Thickness，SEMSIT）。该模型用1088 nm处的反射峰高度估算像元级别的综合消光系数，用1550-1750 nm波段的反射率估算像元级别的海冰表面反射率。将该模型应用于Hyperion高光谱图像估算渤海海冰厚度。初步的验证结果表明，所提出的模型及其参数化方案可以有效克服海冰消光系数和表面反射率在时空上的异质性所带来的海冰厚度估算误差。为今后高光谱数据在海冰厚度估算方面的应用提供了实用化的半经验模型和可行的参数化方案。 |
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