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2015–2020年广东省沿岸红树林矢量数据集
A dataset of mangrove vector in the Guangdong province during 2015–2020
: 2020 - 12 - 30
: 2021 - 01 - 05
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摘要&关键词
摘要:广东省是全国红树林分布面积最大、范围最广、种类最为丰富的地区之一,摸清广东沿岸红树林的分布范围和利用现状至关重要。本数据选取了2015–2020年共119景覆盖广东沿岸、低云量的高分二号卫星遥感数据,数据预处理后采用面向对象特征的分类方法,提取广东省沿岸红树林矢量数据。精度评价结果表明,数据集的总体分类精度、Kappa系数和生产精度,分别高于97%、0.90、84%。本数据集反映了广东省沿岸2015–2020年红树林分布状况及变化,可作为该区域红树林资源的保护、恢复、管理及湿地动态监测、海洋环境变化等应用的基础数据。
关键词:广东省;红树林;高分二号;遥感;数据集
Abstract & Keywords
Abstract: Guangdong province is one of the regions with the largest mangroves area, the widest range and the most abundant species in China. It is very significant to find out the location and situation of mangroves along the coast of Guangdong province. The dataset collects 119 Gaofen-2(GF-2) satellite remote sensing images of Guangdong province with less cloud cover from 2015 to 2020. After all of the collected GF-2 images were preprocessed, object-based image analysis (OBIA) is adopted to extract vector data of mangroves. Accuracy assessment demonstrates that the overall classification accuracy, Kappa coefficient and production accuracy of the data set are higher than 96%, 0.88 and 82%, respectively. This product presents the status and area changes of mangroves in Guangdong province coast during 2015–2020, which can be used as the basic data for the protection, restoration and management of mangrove resources, as well as wetland dynamic monitoring and marine environment change in the region.
Keywords: Guangdong province; mangrove;  GF-2 satellite; remote sensing; dataset
稿件与作者信息
刘叶取
Liu Yequ
张立
Zhang Li
lizhang@scsio.ac.cn
郭康丽
Guo Kangli
党二莎
Dang Er-sha
唐世林
Tang Shilin
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中国科学数据
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