Quantitative Remote Sensing of Metallic Elements for the Qishitan Gold Polymetallic Mining Area, NW China
发布时间：2022-06-23
点击次数：
影响因子：5.349
DOI码：10.3390/rs13132519
所属单位：Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitorin
发表刊物：Remote sensing
关键字：remote sensing; geochemistry; metallic element; quantitative retrieval; scale transformation
摘要：The recent development in remote sensing imagery and the use of remote sensing detection feature spectrum information together with the geochemical data is very useful for the surface element quantitative remote sensing inversion study. This aim of this article is to select appropriate methods that would make it possible to have rapid economic prospecting. The Qishitan gold polymetallic deposit in the Xinjiang Uygur Autonomous Region, Northwest China has been selected for this study. This paper establishes inversion maps based on the contents of metallic elements by integrating geochemical exploration data with ASTER and WorldView-2 remote sensing data. Inversion modelling maps for As, Cu, Hg, Mo, Pb, and Zn are consistent with the corresponding geochemical anomaly maps, which provide a reference for metallic ore prospecting in the study area. ASTER spectrum covers short-wave infrared and has better accuracy than WorldView-2 data for the inversion of some elements (e.g., Au, Hg, Pb, and As). However, the high spatial resolution of WorldView-2 drives the final content inversion map to be more precise and to better localize the anomaly centers of the inversion results. After scale conversion by re-sampling and kriging interpolation, the modeled and predicted accuracy of the models with square interpolation is much closer compare with the ground resolution of the used remote sensing data. This means our results are much satisfactory as compared to other interpolation methods. This study proves that quantitative remote sensing has great potential in ore prospecting and can be applied to replace traditional geochemical exploration to some extent.
第一作者：Gong Cheng
论文类型：期刊论文
论文编号：rs13132519
学科门类：工学
一级学科：地质资源与地质工程
文献类型：J
卷号：13
期号：13
页面范围：1-19
是否译文：否
发表时间：2021-06-28
收录刊物：SCI
附件：
Quantitative Remote Sensing of Metallic Elements for the Qishitan Gold Polymetallic Mining Area.pdf