A dataset of benthic material distribution of coastal coral reefs in Hainan during 2018–2020

Hongrong Wu, Lanwei Zhu, Yanggan Fu, Dong Shi
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引用次数: 0

Abstract

Based on the Sentinel-2 high resolution remote sensing image data, we adopted the object-oriented multi-scale segmentation technology and the nearest neighbor algorithm to classify benthic materials of offshore coral reefs in Wenchang City, Danzhou City, Sanya City of Hainan Province during 2018-2020. Then, combining with the remote sensing images of Gaofen-2 satellite and field validation data we verified the accuracy of the classification results. The dataset can be used to analyze the temporal and spatial changes of benthic materials in coastal coral reefs and assess the health status of coral reefs. Moreover, it can serve as a data foundation for the management and protection of coral reefs in Hainan Island.
2018-2020年海南沿海珊瑚礁底栖生物物质分布数据集
基于Sentinel-2高分辨率遥感影像数据,采用面向对象多尺度分割技术和最近邻算法对2018-2020年海南省三亚市文昌市、儋州市近海珊瑚礁底栖生物物质进行分类。然后,结合高分二号卫星遥感影像和野外验证数据,验证了分类结果的准确性。该数据集可用于分析沿海珊瑚礁底栖生物物质的时空变化,评估珊瑚礁的健康状况。可为海南岛珊瑚礁的管理和保护提供数据基础。
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