The 30-m datasets of aquaculture ponds in Hainan Island from 1990 to 2020

The rapid development of aquaculture has caused certain social and environmental problems. Periodically monitoring the distribution and dynamic changes of aquaculture in coastal areas is of great significance for environmental protection. In this study, we used 3 periods ( 1990, 2010, and 2020) of Landsat TM/OLI data in combination with Google Earth images and field research data, so as to obtain a dataset of aquaculture ponds in Hainan Island during 1990-2020. The overall classification accuracy of this dataset is over 95%. It can be used for analysis of temporal and spatial changes in aquaculture ponds, as well as decision-making support for the site selection, management and utilization of aquaculture ponds. It is expected to provide data support for the sustainable development of aquaculture and ecological environment monitoring in Hainan Province.

水产养殖业的快速发展引发了一系列社会与环境问题。定期监测沿海区域水产养殖的分布与动态变化，对环境保护具有重要意义。本研究采用1990年、2010年、2020年三个时期的Landsat TM/OLI数据，结合Google Earth影像与野外调研数据，构建了1990-2020年海南岛水产养殖塘数据集。该数据集的总体分类精度超过95%，可用于水产养殖塘的时空变化分析，同时可为水产养殖塘的选址、管理与利用提供决策支持，有望为海南省水产养殖业的可持续发展与生态环境监测提供数据支撑。