Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea
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- 作者：Shuai Yuan ; Wei Gu ; Chengyu Liu ; Feng Xie
- 关键词：Key wordsBohai Sea ; sea ice thickness ; hyperspectral remote sensing ; semi ; empirical model
- 刊名：Acta Oceanologica Sinica
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：36
- 期：1
- 页码：80-89
- 全文大小：
- 刊物主题：Oceanography; Climatology; Ecology; Engineering Fluid Dynamics; Marine & Freshwater Sciences; Environmental Chemistry;
- 出版者：The Chinese Society of Oceanography
- ISSN：1869-1099
- 卷排序：36
文摘
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.