A dataset of aquaculture ponds in Hainan Island based on Landsat data during 1987–2020

Abstract

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.