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Monitoring of the July 2024 Dongting Lake Flood Event Using New SWOT Satellite Data
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Chuqiao LI1, Yulong ZHONG1, 2, 3, *, Kaijun YANG1, 2, 4, Jiaming CHEN3, Fan LEI2, 4
Journal of Geodesy and Geodynamics | 2026, 46(5) : 645 - 654
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Journal of Geodesy and Geodynamics | 2026, 46(5): 645-654
Monitoring of the July 2024 Dongting Lake Flood Event Using New SWOT Satellite Data
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Chuqiao LI1, Yulong ZHONG1, 2, 3, *, Kaijun YANG1, 2, 4, Jiaming CHEN3, Fan LEI2, 4
Affiliations
  • 1 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
  • 2 Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, MNR, Changsha 410118, China
  • 3 Institute of Geodesy and Geoinformation, University of Bonn, Bonn 53115, Germany
  • 4 Hunan Provincial Second Surveying and Mapping Institute, Changsha 410119, China
Published: 2026-05-15 doi: 10.14075/j.jgg.2025.07.233
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The reliability of SWOT satellite altimetry-based water level data was validated through extraction and analysis, with the July 2024 flood event in the Dongting lake basin serving as a case study to explore its application potential in dynamic flood monitoring. The results demonstrate that the water level data provided by the SWOT satellite exhibits high accuracy, with an optimal correlation coefficient of 0.99 and a RMSE of 0.55 m when compared to in-situ measurements. The derived water extents also show high spatial consistency with optical imagery.

SWOT satellite  /  satellite altimetry  /  satellite remote sensing  /  flood monitoring  /  flood inundation extent
李楚翘, 钟玉龙, 杨凯钧, 陈嘉明, 雷帆. 新型SWOT卫星数据监测2024-07洞庭湖洪水事件. 大地测量与地球动力学, 2026 , 46 (5) : 645 -654 . DOI: 10.14075/j.jgg.2025.07.233
Chuqiao LI, Yulong ZHONG, Kaijun YANG, Jiaming CHEN, Fan LEI. Monitoring of the July 2024 Dongting Lake Flood Event Using New SWOT Satellite Data[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (5) : 645 -654 . DOI: 10.14075/j.jgg.2025.07.233
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Year 2026 volume 46 Issue 5
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doi: 10.14075/j.jgg.2025.07.233
  • Receive Date：2025-07-03
  • Online Date：2026-10-29
  • Published：2026-05-15
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  • Received：2025-07-03
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Affiliations
    1 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
    2 Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, MNR, Changsha 410118, China
    3 Institute of Geodesy and Geoinformation, University of Bonn, Bonn 53115, Germany
    4 Hunan Provincial Second Surveying and Mapping Institute, Changsha 410119, China
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https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2025.07.233
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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