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1986–2019年赣南稀土矿区土地荒漠化数据集
A dataset of land desertification in the rare earth mining area in southern Jiangxi from 1986 to 2019
: 2020 - 09 - 21
: 2020 - 09 - 23
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摘要&关键词
摘要:岭北矿区是我国南方离子型稀土矿的主要产区,稀土开采带来严重的土地荒漠化问题已成为离子稀土行业可持续发展的关键制约因素。本文采用了随机森林提取土地荒漠化分级信息,完成了1986-2019年29期岭北矿区土地荒漠化分类专题数据集。为了提高荒漠化定量反演的可靠性,以Google影像上选取的样本点验证本数据集的质量和精度,以2018年数据为例,土地荒漠化分级总体精度为93%,kappa系数为90.67%。本数据集反映了特定时期岭北稀土矿区的荒漠化程度以及稀土开采前后矿区土地荒漠化的时空变化情况,并为今后研究区荒漠化的控制、改造工作提供基础数据和技术方法支撑。
关键词:稀土矿区;荒漠化;随机森林;时空变化
Abstract & Keywords
Abstract: The Lingbei mining area is the main production area of ion-type rare earth mines in southern my country. The serious land desertification caused by rare earth mining has become a key constraint to the sustainable development of the ion rare earth industry. This paper uses random forest to extract land desertification classification information, and completes the 29th Lingbei mining area land desertification classification thematic data set from 1986 to 2019. In order to improve the reliability of quantitative inversion of desertification, the quality and accuracy of this dataset are verified by sample points selected on Google images. Taking 2018 data as an example, the overall accuracy of land desertification classification is 93%, and the kappa coefficient is 90.67%. This data set reflects the degree of desertification in the rare earth mining area of Lingbei in a specific period and the temporal and spatial changes of land desertification in the mining area before and after rare earth mining, and provides basic data and technical support for the future control and transformation of desertification in the study area.
Keywords: rare earth mining area; desertification; random forest; temporal and spatial changes
稿件与作者信息
李迎双
liyingshuang
李恒凯
Li Hengkai
giskai@126.com
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中国科学数据
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