Using remote sensing to estimate sea ice thickness in the Bohai Sea, China based on ice type

Li, Ning; Xie, Feng; Gu, Wei; Yu, Xu; Shuqing, Huang; Yuan, Shuai; Cui, Weijia; Levy, Jason

doi:10.1080/01431160802592542

Cited by 44 publications

(26 citation statements)

References 8 publications

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“…The Bohai Sea is the most southern area in the northern hemisphere with sea ice in winter (Ning et al, 2009). The region around the Bohai Sea is an important economic development zone in China.…”

Section: Introductionmentioning

confidence: 99%

Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea

Su¹,

Wang²,

Xiao³

et al. 2013

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Introductionmentioning

confidence: 99%

Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea

Su¹,

Wang²,

Xiao³

et al. 2013

ISPRS Journal of Photogrammetry and Remote Sensing

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“…The identifi cation of sea ice type was performed using MODIS refl ectance data, and the classifi cation results are presented in Fig.5. The ice type classifi cation method used is described by Xie et al (2006) and Ning et al (2009). A detailed description of the classifi cation method is beyond the scope of this paper, so we only present the classifi cation results here.…”

Section: Model Resultsmentioning

confidence: 99%

“…The classifi cation of sea ice types (as an indicator of ice thickness) was carried out using MODIS refl ectance data, and the results are presented in Fig.11d and Fig.11h. As mentioned earlier, the ice type classifi cation method used was developed by Xie et al (2006) and Ning et al (2009).…”

Section: Discussionmentioning

confidence: 99%

Analysis of multi-dimensional SAR for determining the thickness of thin sea ice in the Bohai Sea

Zhang

Meng

et al. 2013

Chin. J. Ocean. Limnol.

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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) can be used to acquire sea ice data in all weather conditions, and it is a useful tool for monitoring sea ice conditions. In this paper, we combine a multi-layered sea ice electromagnetic (EM) scattering model with a sea ice thermodynamic model to assess the determination of the thickness of fl at thin ice in the Bohai Sea using SAR at different frequencies, polarization, and incidence angles. Our modeling studies suggest that co-polarization backscattering coeffi cients and the co-polarized ratio can be used to retrieve the thickness of fl at thin ice from C-and X-band SAR, while the co-polarized correlation coeffi cient can be used to retrieve fl at thin ice thickness from L-, C-, and X-band SAR. Importantly, small or moderate incidence angles should be chosen to avoid the effect of speckle noise.

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“…Channels were blocked by sea ice, and aquaculture was impeded with a concomitant increase in the price of seafood. Sea ice seriously affected coal transportation in the ports around the Bohai Sea, such as Tianjin, Qinhuangdao, Yingkou, and Dalian, causing a nationwide shortage of energy supply (Wu et al 2005;Yue et al 2009;Ning et al 2009). It led to temporary economic losses in the Bohai Sea Economic Zone and affected the whole country (Bai and Wu 1998;Wang et al 2003).…”

Section: Introductionmentioning

confidence: 98%

Monitoring the Spatiotemporal Evolution of Sea Ice in the Bohai Sea in the 2009–2010 Winter Combining MODIS and Meteorological Data

Wang

Yang

2011

Estuaries and Coasts

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The spatiotemporal evolution of sea ice of Bohai Sea in the 2009-2010 winter was studied by time-series remote sensing data, and real-time meteorological data in combination with cumulative freezing degree days (CFDD). Sea ice acreage was determined using a ratio-threshold segmentation together with visual interpretation of daily MODIS 250 m imagery. We found the sea ice acreage soared to 31,849 km 2 on January 23, covering 40.8% of the Bohai Sea. But on February 12, it reached 26,700 km 2 in Liaodong Bay only, covering almost 90.0% of Liaodong Bay. The rapid formation and expansion of sea ice was caused by continuous cold snaps superimposed on a background of anomalously cold weather. CFDD calculated from surrounding cities highly correlated with sea ice acreage in Liaodong Bay (R 2 =0.72) suggesting CFDD is one of the significant controlling factors. Sea ice expansion showed 7 days lag with respect to the lowest temperature from surrounding coastal cities, and it mainly occurred close to land, along the coastline, and gradually expanded from the shore outwards.

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Using remote sensing to estimate sea ice thickness in the Bohai Sea, China based on ice type

Cited by 44 publications

References 8 publications

Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea

Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea

Analysis of multi-dimensional SAR for determining the thickness of thin sea ice in the Bohai Sea

Monitoring the Spatiotemporal Evolution of Sea Ice in the Bohai Sea in the 2009–2010 Winter Combining MODIS and Meteorological Data

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