Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China

Abstract A gold–silver–lead–zinc polymetallic ore was selected in Huaniushan, Gansu Province as the study area. Hyperspectral aerial images as the primary information source, ground spectrum tests, and sampling analysis were used as auxiliary techniques. They were combined with large-scale mineral a...

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Autores principales:	Yu-qing Wan, Yu-hai Fan, Mou-shun Jin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8165746e001f4396842eab56eac5e3e5
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spelling	oai:doaj.org-article:8165746e001f4396842eab56eac5e3e52021-12-02T14:01:24ZApplication of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China10.1038/s41598-020-79864-02045-2322https://doaj.org/article/8165746e001f4396842eab56eac5e3e52021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79864-0https://doaj.org/toc/2045-2322Abstract A gold–silver–lead–zinc polymetallic ore was selected in Huaniushan, Gansu Province as the study area. Hyperspectral aerial images as the primary information source, ground spectrum tests, and sampling analysis were used as auxiliary techniques. They were combined with large-scale mineral and geological maps and other high-resolution satellite remote sensing images. Hyperspectral remote sensing classification identification and quantitative analysis methods were used to study the main mineral resources and rock mass occurrence. Finally, deposit distribution information was extracted and validated. The results showed that the effective classification methods by hyperspectral images were spectral angle mapping, minimum noise fraction transform, and mixed tuned matched filtering. Based on the ground survey, combined with sampling analysis, the accuracy of classification was 80%. The recognition rate of the main ore body—the iron-manganese cap lead–zinc oxide ore—was as high as 81%. This research showed that hyperspectral remote sensing in this mining area has excellent demonstration effects and is worth completing and supplementing original mineral and geological maps. The targets are important areas for detailed follow-up on mineral resource exploration.Yu-qing WanYu-hai FanMou-shun JinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yu-qing Wan Yu-hai Fan Mou-shun Jin Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
description	Abstract A gold–silver–lead–zinc polymetallic ore was selected in Huaniushan, Gansu Province as the study area. Hyperspectral aerial images as the primary information source, ground spectrum tests, and sampling analysis were used as auxiliary techniques. They were combined with large-scale mineral and geological maps and other high-resolution satellite remote sensing images. Hyperspectral remote sensing classification identification and quantitative analysis methods were used to study the main mineral resources and rock mass occurrence. Finally, deposit distribution information was extracted and validated. The results showed that the effective classification methods by hyperspectral images were spectral angle mapping, minimum noise fraction transform, and mixed tuned matched filtering. Based on the ground survey, combined with sampling analysis, the accuracy of classification was 80%. The recognition rate of the main ore body—the iron-manganese cap lead–zinc oxide ore—was as high as 81%. This research showed that hyperspectral remote sensing in this mining area has excellent demonstration effects and is worth completing and supplementing original mineral and geological maps. The targets are important areas for detailed follow-up on mineral resource exploration.
format	article
author	Yu-qing Wan Yu-hai Fan Mou-shun Jin
author_facet	Yu-qing Wan Yu-hai Fan Mou-shun Jin
author_sort	Yu-qing Wan
title	Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
title_short	Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
title_full	Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
title_fullStr	Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
title_full_unstemmed	Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
title_sort	application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in huaniushan ore region, northwestern china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8165746e001f4396842eab56eac5e3e5
work_keys_str_mv	AT yuqingwan applicationofhyperspectralremotesensingforsupplementaryinvestigationofpolymetallicdepositsinhuaniushanoreregionnorthwesternchina AT yuhaifan applicationofhyperspectralremotesensingforsupplementaryinvestigationofpolymetallicdepositsinhuaniushanoreregionnorthwesternchina AT moushunjin applicationofhyperspectralremotesensingforsupplementaryinvestigationofpolymetallicdepositsinhuaniushanoreregionnorthwesternchina
_version_	1718392152438865920

Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China

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