The Cryosphere
The Cryosphere
The Cryosphere
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https://doi.org/10.5194/tc-2022-175
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2022-175
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Preprints
 
20 Sep 2022
20 Sep 2022
Status: this preprint is currently under review for the journal TC.

The Capability of high spatial-temporal remote sensing imagery for monitoring surface morphology of lake ice in Chagan Lake of Northeast China

Qian Yang1,2, Xiaoguang Shi1, Weibang Li1, Kaishan Song2, Zhijun Li3, Xiaohua Hao4, Fei Xie3, Nan Lin1, Zhidan Wen2, Chong Fang2, and Ge Liu2 Qian Yang et al.
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  • 1Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun, 130102, China
  • 2Jilin Jianzhu University, School of Geomatics and Prospecting Engineering, Changchun, 130118, China
  • 3Dalian University of Technology, State Key Laboratory of Coastal and Offshore Engineering, Dalian, 116024, China
  • 4Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
Received: 02 Sep 2022 – Discussion started: 20 Sep 2022

Abstract. The surface morphology of lake ice undergoes remarkable changes under the combined influence of thermal and mechanical forces, which has been rarely observed by remote sensing. A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in recent years. We prosed a method to extract linear structure on the lake ice surface. We applied it to high spatial-temporal images merged by the Landsat and GOCI images using an enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). We monitored the changes in surface morphology in Chagan Lake from November 2018 to March 2019, which were further verified as ice ridges during the field investigation. The average length of the ice ridges during the completely frozen period was 21141.57 ± 68.36 m. The average azimuth angle was 335.48° ± 0.23°, perpendicular to the wind domain. Besides, we discovered spherical ice balls along the southwestern coast. The deformation of surface morphology is closed related to wind direction, snowfall, and air temperature.

How to cite. Yang, Q., Shi, X., Li, W., Song, K., Li, Z., Hao, X., Xie, F., Lin, N., Wen, Z., Fang, C., and Liu, G.: The Capability of high spatial-temporal remote sensing imagery for monitoring surface morphology of lake ice in Chagan Lake of Northeast China, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2022-175, in review, 2022.

Qian Yang et al.

Status: open (until 15 Nov 2022)

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Short summary
A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in winter, which was further verified as ice ridges in the field investigation. We extracted the length and the angle of the ice ridges from multi-source remote sensing images. The average length was 21141.57 ± 68.36 m. The average azimuth angle was 335.48° ± 0.23°. We explained the appearance of the ice phenomenon by climate conditions, including wind direction, snowfall, and air temperature.
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