水体
遥感
环境科学
计算机科学
地质学
环境工程
作者
Leishi Chen,Jianbo Deng,Bing Sui,Lei Xi
摘要
Water body detection plays an important role in the field of ecological research, but efficient, accurate and automatic long-time water body detection methods still need to be explored. Therefore, this paper proposes a water body detection method based on Google earth engine, which is based on the automatic threshold recognition principle of the OTSU method, and conducts automatic water detection of a total of 135 Sentinel-1 images of South Dongting Lake from 2018 to 2022. The study shows that the overall classification accuracy of the method is 92.61%, and the Kappa coefficient is 0.86, and the results reflect the impact of extreme climate change on the seasonal water distribution of South Dongting Lake.
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