Remote sensing-based mineralized alteration information extraction and prospecting prediction of the Beiya gold deposit, Yunnan Province

doi:10.6046/zrzyyg.2020317

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Abstract

The identification and extraction of mineralized alteration information play an important role in the ore prospecting using remote sensing technology. Taking the Beiya gold polymetallic deposit as an example, this study designed an alteration information extraction scheme using the principal component analysis technique according to Landsat8 OLI data and the spectral characteristics related to mineral alteration. Specifically, the extraction scheme consists of the removal of interference information (vegetation, water, and shadows), extraction of abnormal information, anomaly gradation, median filtering, and anomaly screening successively. According to the anomaly information extracted, as well as geological interpretation of remote sensing data (lithology and structures) and field surveys, three prospecting areas were delineated in the study area. This will provide basic data and decision-making bases for the ore prospecting in the Beiya area.

Keywords alteration anomaly information extraction principal component analysis remote sensing geological interpretation ore prospecting

ZTFLH:

TP79

Issue Date: 24 September 2021

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	Yingjuan WEI
	Huan LIU

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Yingjuan WEI,Huan LIU. Remote sensing-based mineralized alteration information extraction and prospecting prediction of the Beiya gold deposit, Yunnan Province[J]. Remote Sensing for Natural Resources, 2021, 33(3): 156-163.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2020317 OR https://www.gtzyyg.com/EN/Y2021/V33/I3/156

Fig.1 Flow chart of remote sensing anomaly information extraction, geological interpretation and prospecting prediction of Beiya gold polymetallic deposit

Fig.2 PCA[2,4,5,6] principal component eigenvector matrix

Fig.3 PCA[2,5,6,7] principal component eigenvector matrix

Fig.4 Distribution map of iron-stained and hydroxyl alteration anomalies in Beiya area

Fig.5 Triassic (T₂b) and surrounding stratigraphic images

Fig.6 Image interpretation signs of typical Permian basalt (P₂β)

Fig.7 Image interpretation mark map of typical linear structure and field photo of fault fracture structure fault breccia

Fig.8 Image interpretation sign of typical circular structure

Fig.9 Prospective map of remote sensing mineralization in Beiya area

Fig.10 Yellow-brown iron argillaceous film in the fissure

Fig.11 Purple-red iron film (limonite mineralization) and clay mineralization

Fig.12 Field photos of grayish green muddy and iron disseminated and light yellow-dark brown basalt limonite mineralization

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