[an error occurred while processing this directive] 世界地质 2018, 37(4) 1250-1257 DOI:   10.3969/j.issn.1004-5589.2018.04.025  ISSN: 1004-5589 CN: 22-1111/P

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本文关键词相关文章
阿里萨罗盐湖
Sentinel-2A卫星
锂离子含量
遥感预测模型
本文作者相关文章
王德军
姜琦刚
习靖
吕丹红
PubMed
Article by Wang D
Article by Jiang Q
Article by Xi J
Article by Lyu D
基于Sentinel-2A的阿里萨罗盐湖锂资源遥感定量分析
王德军, 姜琦刚, 习靖, 吕丹红
吉林大学地球探测科学与技术学院, 长春 130026
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  
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
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  
收稿日期 2018-04-11 修回日期 2018-06-20 网络版发布日期  
DOI: 10.3969/j.issn.1004-5589.2018.04.025
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).

通讯作者: 姜琦刚(1964-),男,教授,博士生导师,主要从事自然资源调查、地质资源遥感解译等方面研究.E-mail:jiangqigang@jlu.edu.cn
作者简介:
作者Email: jiangqigang@jlu.edu.cn

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