基于高分2号数据的海南岛红树林变化数据集(2015-2019)

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

红树林是具有重要的生态及生态经济服务价值的海岸带湿地生态系统。由于自然因素和人类活动的影响,红树林又是全球最脆弱的生态系统之一。红树林的监测是一项需要长久开展的工作。遥感技术的发展为红树林监测提供了一种高效便利的手段。本研究基于2015、2017和2019年共计3期国产高分2号(GF-2)数据,同时结合野外调查资料,以及采用高斯径向基核函数,惩罚因子为100,Gamma函数为0.022的支持向量机方法,提取了2015-2019年3期海南岛红树林变化数据集。本数据集总体分类精度大于99%,数据量为58.7 MB。本数据集可作为红树林时空变化分析的基础数据,也能为海南省红树林湿地生态系统可持续利用和保护等提供决策支持,为海南省生态环境监管提供依据。

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,we adopted a support vector machine(SVM)classification method with Gaussian radial kernel function,penalty factor of 100 and Gamma function 0f 0.022 to obtain a dataset of mangrove forest changes on Hainan Island from 2015 to 2019 by using Gaofen-2(GF-2)data in 2015,2017 and 2019 in combination with field survey data.The overall classification accuracy of this dataset is more than 99%,and the data volume is 58.7 MB.It can be used as the basic data for the analysis of spatial and temporal changes of mangrove forests.It can also provide decision-making support for the restoration,protection and management of mangrove wetland ecosystems,and facilitate the ecological environment supervision in Hainan Province.