1987-2020年基于Landsat数据的海南岛水产养殖池塘数据集

Li Zhang, Yongqiang Tang, Jingying Lin, Min Yan, Jingjuan Liao
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引用次数: 0

摘要

水产养殖业的快速发展带来了一定的社会和环境问题。定期监测沿海地区水产养殖的分布和动态变化,对环境保护具有重要意义。本研究利用1987年、1990年、1995年、2000年、2005年、2010年、2015年、2018年、2020年共9期Landsat TM/OLI数据,结合谷歌地球影像和实地调研数据,采用面向对象分类方法结合阈值法,获得1987-2020年海南岛养殖池塘变化数据集。该数据集的总体分类准确率在95%以上。可用于水产养殖池塘的时空变化分析,为水产养殖池塘的选址、管理和利用提供决策支持。有望为海南省水产养殖可持续发展和生态环境监测提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset of aquaculture ponds in Hainan Island based on Landsat data during 1987–2020
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, a total of 9 periods of Landsat TM/OLI data from 1987, 1990, 1995, 2000, 2005, 2010, 2015, 2018, 2020, combined with Google Earth images and field research data, were used to obtain an object-oriented classification method combining the threshold method to obtain the 1987 The data set of farming pond changes in Hainan Island in the years 1987-2020 was obtained by using an object-oriented classification method combined with the threshold method.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.
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