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基于Sentinel--2A的阿里萨罗盐湖锂资源遥感定量分析
引用本文:王德军,姜琦刚,习靖,吕丹红.基于Sentinel--2A的阿里萨罗盐湖锂资源遥感定量分析[J].世界地质,2018,37(4):1250-1257.
作者姓名:王德军  姜琦刚  习靖  吕丹红
作者单位:吉林大学地球探测科学与技术学院, 长春 130026
基金项目:海上丝绸之路重点地区有色金属资源潜力评价项目(DD20160118).
摘    要:为探究阿里萨罗盐湖中锂资源的空间分布状况,笔者利用Sentinel--2A卫星数据和锂离子含量实测数据对其进行统计分析,并利用波段组合方法建立盐指数,再结合主成分分析对盐湖中的锂离子含量进行分离,建立盐湖中锂离子含量遥感预测模型。结果表明,此遥感预测模型的盐湖中锂离子含量预测结果精度均 80%,预测得到的锂离子含量分布情况与实际情况基本一致。

关 键 词:阿里萨罗盐湖  Sentinel-2A卫星  锂离子含量  遥感预测模型
收稿时间:2018-04-11
修稿时间:2018-06-20

Quantitative analysis of lithium resources in Arizaro salt lake using remote sensing based on Sentinel-2A
WANG De-jun,JIANG Qi-gang,XI Jing,LYU Dan-hong.Quantitative analysis of lithium resources in Arizaro salt lake using remote sensing based on Sentinel-2A[J].World Geology,2018,37(4):1250-1257.
Authors:WANG De-jun  JIANG Qi-gang  XI Jing  LYU Dan-hong
Institution:College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China
Abstract:To explore the spatial distribution of lithium resources in Arizaro salt lake, the Sentinel-2A satellite data and the measured data of lithium ion content were used for statistical analysis and the band combination method is used to establish the salt index. Combining principal component analysis, separation of lithium ion content in the salt lake is achieved and the remote sensing prediction model for lithium ion content is established. The results show that the inversion accuracy of the lithium ion content prediction model in the salt lake is more than 80%, and the distribution of lithium ion content in the inversion is basically the same as the actual situation.
Keywords:Arizaro salt lake  Sentinel-2A satellite  lithium ion content  remote sensing prediction model
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