| 基于高光谱遥感的渤海海冰厚度半经验模型 |
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| 引用本文： | 袁帅,顾卫,刘成玉,谢锋.基于高光谱遥感的渤海海冰厚度半经验模型[J].海洋学报(英文版),2017,36(1):80-89. |
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| 作者姓名： | 袁帅 顾卫 刘成玉 谢锋 |
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| 作者单位： | 国家海洋环境监测中心, 大连 116023,北京师范大学地表过程与资源生态国家重点实验室, 北京 610500,中国科学院空间主动光电技术重点实验室, 上海 200083,中国科学院空间主动光电技术重点实验室, 上海 200083 |
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| 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. |
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| 摘 要： | 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 semiempirical 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.
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| 关 键 词： | 渤海 海冰厚度 高光谱遥感 半经验模型 |
| 收稿时间： | 1/5/2016 12:00:00 AM |
| 修稿时间： | 7/8/2016 12:00:00 AM |
Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea |
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| YUAN Shuai,GU Wei,LIU Chengyu and XIE Feng.Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea[J].Acta Oceanologica Sinica,2017,36(1):80-89. |
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| Authors: | YUAN Shuai GU Wei LIU Chengyu and XIE Feng |
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| Institution: | 1.National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China2.State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China3.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. |
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| Keywords: | Bohai Sea sea ice thickness hyperspectral remote sensing semi-empirical model |
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