Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China
<p>The surface morphology of lake ice remarkably changes under the combined influence of thermal and mechanical forces. However, research on the surface morphology of lake ice and its interaction with climate is scarce. A large-scale linear structure has repeatedly appeared on satellite images...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-03-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/17/959/2023/tc-17-959-2023.pdf |
| _version_ | 1828001579379195904 |
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| author | Q. Yang Q. Yang X. Shi X. Shi W. Li K. Song Z. Li X. Hao F. Xie N. Lin Z. Wen C. Fang G. Liu |
| author_facet | Q. Yang Q. Yang X. Shi X. Shi W. Li K. Song Z. Li X. Hao F. Xie N. Lin Z. Wen C. Fang G. Liu |
| author_sort | Q. Yang |
| collection | DOAJ |
| description | <p>The surface morphology of lake ice remarkably changes under the combined influence of thermal and mechanical forces. However, research on the surface morphology of lake ice and its interaction with climate is scarce. A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in recent years. The Geostationary Ocean Color Imager (GOCI), with a 1 h revisit, and Landsat 8 Operational Land Imager (OLI), with a spatial resolution of 30 m, provide the possibility for the study of hourly changes in the large-scale linear structure. We merged the Landsat and GOCI images, using an Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and extracted the lengths and angles of the linear structure. We monitored the hourly changes in the surface morphology during the cold season from 2018 to 2019. The average length of the linear structure in the completely frozen period was <span class="inline-formula">21 141.57 ± 68.36</span> m. The average azimuth angle was <span class="inline-formula">335.48 ± 0.23</span><span class="inline-formula"><sup>∘</sup></span>, nearly perpendicular to the domain wind in winter. Through two field investigations during the two recent cold seasons, we verified the linear structure as being ice fractures and ridges. The evolution of surface morphology is closely associated with air temperature, wind, and shoreline geometry.</p> |
| first_indexed | 2024-04-10T06:31:24Z |
| format | Article |
| id | doaj.art-fc76bd687c774eb8b5b10f3023d747a6 |
| institution | Directory Open Access Journal |
| issn | 1994-0416 1994-0424 |
| language | English |
| last_indexed | 2024-04-10T06:31:24Z |
| publishDate | 2023-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The Cryosphere |
| spelling | doaj.art-fc76bd687c774eb8b5b10f3023d747a62023-03-01T08:01:18ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242023-03-011795997510.5194/tc-17-959-2023Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast ChinaQ. Yang0Q. Yang1X. Shi2X. Shi3W. Li4K. Song5Z. Li6X. Hao7F. Xie8N. Lin9Z. Wen10C. Fang11G. Liu12School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, ChinaSchool of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, ChinaSchool of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, ChinaNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China<p>The surface morphology of lake ice remarkably changes under the combined influence of thermal and mechanical forces. However, research on the surface morphology of lake ice and its interaction with climate is scarce. A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in recent years. The Geostationary Ocean Color Imager (GOCI), with a 1 h revisit, and Landsat 8 Operational Land Imager (OLI), with a spatial resolution of 30 m, provide the possibility for the study of hourly changes in the large-scale linear structure. We merged the Landsat and GOCI images, using an Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and extracted the lengths and angles of the linear structure. We monitored the hourly changes in the surface morphology during the cold season from 2018 to 2019. The average length of the linear structure in the completely frozen period was <span class="inline-formula">21 141.57 ± 68.36</span> m. The average azimuth angle was <span class="inline-formula">335.48 ± 0.23</span><span class="inline-formula"><sup>∘</sup></span>, nearly perpendicular to the domain wind in winter. Through two field investigations during the two recent cold seasons, we verified the linear structure as being ice fractures and ridges. The evolution of surface morphology is closely associated with air temperature, wind, and shoreline geometry.</p>https://tc.copernicus.org/articles/17/959/2023/tc-17-959-2023.pdf |
| spellingShingle | Q. Yang Q. Yang X. Shi X. Shi W. Li K. Song Z. Li X. Hao F. Xie N. Lin Z. Wen C. Fang G. Liu Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China The Cryosphere |
| title | Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China |
| title_full | Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China |
| title_fullStr | Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China |
| title_full_unstemmed | Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China |
| title_short | Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China |
| title_sort | fusion of landsat 8 operational land imager and geostationary ocean color imager for hourly monitoring surface morphology of lake ice with high resolution in chagan lake of northeast china |
| url | https://tc.copernicus.org/articles/17/959/2023/tc-17-959-2023.pdf |
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