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Lakes are sensitive indicators of climate change, and obtaining the information of lake water quickly and accurately is of great significance for regional climate change research, the protection and governance of ecological environment. This article is based on multi-source satellite images such as Landsat and GF-6, and uses the method of empirical threshold and single band threshold and water index and other methods to extract the water area of DaSuGan lake. Based on the accuracy evaluation results, the optimal water identification model is selected, and the spatial-temporal evolution law of the water area of DaSuGan lake is analyzed from 1991 to 2020. The results show that:

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Analysis of Spatial-Temporal Evolution of Water Surface Area in DaSuGan Lake Based on Multi-source Satellite Images and Computer Vision Technology

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Liping Shang,
  • Yu′e Du,
  • Baokang Liu

摘要

Lakes are sensitive indicators of climate change, and obtaining the information of lake water quickly and accurately is of great significance for regional climate change research, the protection and governance of ecological environment. This article is based on multi-source satellite images such as Landsat and GF-6, and uses the method of empirical threshold and single band threshold and water index and other methods to extract the water area of DaSuGan lake. Based on the accuracy evaluation results, the optimal water identification model is selected, and the spatial-temporal evolution law of the water area of DaSuGan lake is analyzed from 1991 to 2020. The results show that: