A dataset of mangrove forests changes in Hainan Island based on GF-2 data during 2015-2019

Abstract

Mangrove forests are wetland ecosystems in the coastal zone with important ecological and eco-economic service values. At the same time, mangrove forests are vulnerable ecosystems, being under threat from both natural and anthropogenic forces, so mangrove monitoring is a permanent task. The development of remote sensing technology has provided an efficient and convenient means for mangrove monitoring. In this study, a dataset of mangrove forest changes on Hainan Island from 2015 to 2019 was obtained using Gaofen-2 (GF-2) data in 2015, 2017 and 2019. The dataset was compiled through a support vector machine (SVM) classification method and field survey data. It can be used as the basic data for the analysis of spatial and temporal changes of mangrove forests, and can also provide decision support for the restoration, protection and management of mangrove wetland ecosystems, and provide basic data for the ecological environment supervision in Hainan Province.