Information extraction of aquaculture ponds in the Jianghan Plain based on Sentinel-2 time-series data
CHEN Zhiyang1(), MAO Dehua2, WANG Zongming2, LIN Nan1, JIA Mingming2, REN Chunying2, WANG Ming2()
1. School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130119, China 2. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
In recent years, the rapid expansion of the aquaculture pond industry has given rise to a series of ecological and environmental issues. The Jianghan Plain is recognized as one of the most important freshwater aquaculture bases in China, and investigating changes in its aquaculture ponds is crucial for China’s ecological conservation. Focusing on the Jianghan Plain, this study proposed a method for extracting and monitoring changes in aquaculture ponds using Google Earth Engine (GEE) and Sentinel-2 dense time-series images. Using this method, which combined K-means clustering and a hierarchical decision tree classification algorithm, this study achieved accurate information extraction and spatiotemporal pattern analyses of aquaculture ponds in the plain in each year from 2016 to 2022. The results indicate that the combination of K-means and the hierarchical decision tree algorithm that integrated time-varying features allowed for accurate classification of aquaculture ponds, with an overall classification accuracy of 91.90% and a Kappa coefficient exceeding 0.84. In 2022, the aquaculture pond area of Jianghan Plain is 2 126.43 km2. Among these area of aquaculture ponds, 43.24% were concentrated in Jingzhou City, while Yichang City had the fewest area of aquaculture ponds, accounting for only 0.76%. From 2016 to 2022, aquaculture ponds in the Jianghan Plain exhibited an upward trend overall and dynamics with pronounced spatial heterogeneity. Specifically, the total area increased to 2 126.43 km2 from 1 947.43 km2, increasing by 9.19%. The proposed methodology provides an important reference for the precise monitoring of aquaculture ponds, and the resulting dataset serves as a valuable reference and holds great practical significance for the ecological conservation and the assessment of sustainable development goals in the Jianghan Plain.
陈志洋, 毛德华, 王宗明, 林楠, 贾明明, 任春颖, 王铭. 基于时序Sentinel-2数据的江汉平原养殖池提取[J]. 自然资源遥感, 2025, 37(1): 169-178.
CHEN Zhiyang, MAO Dehua, WANG Zongming, LIN Nan, JIA Mingming, REN Chunying, WANG Ming. Information extraction of aquaculture ponds in the Jianghan Plain based on Sentinel-2 time-series data. Remote Sensing for Natural Resources, 2025, 37(1): 169-178.
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2025, Vol. 37 
), 毛德华2, 王宗明2, 林楠1, 贾明明2, 任春颖2, 王铭2(
