Research on dynamic monitoring Tiangang Lake shorelines based on Sentinel-2 images
Xinchuan LI , Dongmei WANG , Yifan SHI , Yansong BAO , Qiyun ZHOU , Qian SUN , Yuxin ZHU
Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (10) : 124 -134.
[Objective] Accurately monitoring the main objective and changes of river and lake shorelines is crucial for river and lake shorelines management. Exploring the use of high spatiotemporal remote sensing data to achieve dynamic monitoring of river and lake shorelines is of great significance. [Methods] Sentinel-2 images from different periods of Tiangang Lake were selected. The post classification change detection method was proposed to monitor the dynamic changes of Tiangang lake shorelines. Firstly, the accuracy of land use classification using maximum likelihood method, random forest method, and object-based image classification method was evaluated. Then, the transitional graphic of land use was calculated to analyze the dynamic changes in the shoreline of Tiangang Lake. Finally, the accuracy and spatiotemporal changes of photovoltaics were compared. [Results] The result showed that among the three selected land use classification method, object-based image classification method had the best classification accuracy, with an average overall classification accuracy and Kappa coefficient of 92.7% and 0.91, followed by random forest method and maximum likelihood method. From 2019 to 2023, the photovoltaic area of Tiangang lake shorelines in Jiangsu Province was rapidly increased, and the land use change rate of water bodies converted to photovoltaics was the highest. The average IOU of photovoltaic recognition using object-based image classification method was 91.4%, and Sentinel-2 images can accurately monitor the dynamic changes of photovoltaics in different periods. [Conclusion] The use of object-based image classification method can accurately identify and monitor the main targets and their spatiotemporal changes along the water shoreline, providing reference for dynamic supervision of rivers and lakes.
Sentinel-2 / object-based image classification method / river and lake monitoring / photovoltaic / post classification change detection
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