Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea

  title={Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea},
  author={Shuai Yuan and Wei Gu and Chengyu Liu and Feng Xie},
  journal={Acta Oceanologica Sinica},
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… Expand
Practical Model of Sea Ice Thickness of Bohai Sea Based on MODIS Data
Sea ice thickness is one of the most important input parameters in the studies on sea ice disaster prevention and mitigation. It is also the most important content in remote sensing monitoring of seaExpand
Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data
The results show that this sea ice information index based on OLCI data can effectively extract sea ice extent for sediment-laden water and is well suited for monitoring the evolution of Bohai Sea ice in winter. Expand
Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data
Satellite remote sensing data, such as moderate resolution imaging spectroradiometers (MODIS) and advanced very high-resolution radiometers (AVHRR), are being widely used to monitor sea iceExpand
Research advances in remote sensing monitoring of sea ice in the Bohai sea
  • Shuai Yuan, Chengyu Liu, Xueqin Liu, Yuan Chen, Yujin Zhang
  • Earth Science Informatics
  • 2021
As a key marine economic zone of China, human social and economic activities are very frequent in the Bohai Sea. The timely acquisition of sea ice parameters is of great significance for theExpand
Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with Deep Learning
The proposed method combines relevant textural features and performs spectral-spatial feature extraction based on the 3D-CNN model by using a large amount of unlabeled sample information, which is more suitable for classifying hyperspectral sea ice images. Expand
Variation of bacterial community associated with Phaeodactylum tricornutum in response to different inorganic nitrogen concentrations
Changes in the bacterial communities associated with Phaeodactylum tricornutum when co-cultured with different forms and concentrations of N are identified based on the Illumina HiSeq sequencing of 16S rRNA amplicons. Expand


Estimation of sea ice thickness in the Bohai Sea using a combination of VIS/NIR and SAR images
The thicknesses of level and rough sea ice in the Bohai Sea were estimated, using Huan Jing-1 (HJ-1) charge-coupled device (CCD) images and environmental satellite (ENVISAT) advanced syntheticExpand
Using MODIS data to estimate sea ice thickness in the Bohai Sea (China) in the 2009-2010 winter
[1] To estimate sea ice thickness over a large spatial scale is a challenge. In this paper, we propose a direct approach to effectively estimate sea ice thickness over a large spatial area of theExpand
Analysis of multi-dimensional SAR for determining the thickness of thin sea ice in the Bohai Sea
Flat thin ice (<30 cm thick) is a common ice type in the Bohai Sea, China. Ice thickness detection is important to offshore exploration and marine transport in winter. Synthetic aperture radar (SAR)Expand
Sea ice density estimation in the Bohai Sea using the hyperspectral remote sensing technology
Sea ice density is one of the significant physical properties of sea ice and the input parameters in the estimation of the engineering mechanical strength and aerodynamic drag coefficients; also itExpand
Using remote sensing to estimate sea ice thickness in the Bohai Sea, China based on ice type
It is challenging to use traditional remote sensing techniques to accurately determine the extent and thickness of ice in the Bohai Sea, on account of the presence of sea impurities (i.e. mud, saltExpand
A Polarimetric Decomposition Method for Ice in the Bohai Sea Using C-Band PolSAR Data
A three-component scattering model to decompose polarimetric SAR (PolSAR) data of sea ice helps to distinguish different ice types and offers a proxy for sea ice thickness. Expand
Sea ice monitoring for the Bohai Sea based on the Hyperion image
The hyper-spectral image which contains sea ice of western Liaodong Bay in the winter of 2008 was obtained by the Hyperion sensor.The reflectance image has been retrieved through the atmosphericExpand
Retrieval of Sea Ice in the Bohai Sea from MODIS Data
MODIS is a new imaging spectroradiometer instrument whose signals are more steady than other instruments,such as NOAA/AVHRR and HY-1A/COCTS.Its high resolution and wide spatial coverage enable MODISExpand
The paper advances a feasible estimation methodology of using remote sensing data to calculate sea ice resource which includes ice extension and inversion ice thickness distribution. Based uponExpand
Sea ice thickness retrieval from SAR imagery over Bohai sea
An ice thickness estimation method combining numerical sea ice model and SAR data is presented, which results are evaluated by comparing with in-situ observations from oil platforms and ice forecast results from National Marine Environmental Forecasting Center (NMEFC). Expand