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Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China
Key Laboratory of Western Mineral Resources and Geological Engineering of Ministry of Education, School of Earth Sciences and Resources, Chang'an University, Xi'an 710054, China
Lanzhou AuriferouStone Mining Services Co., Ltd., Lanzhou 730030, China
LREIS, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Geological Brigade 7 of Xinjiang Bureau of Geology and Mineral Resources, Wusu 833000, China
* Author to whom correspondence should be addressed.
Received: 30 April 2013; in revised form: 12 June 2013 / Accepted: 13 June 2013 / Published: 25 June 2013
Abstract: The Xiemisitai area, West Junggar, Xinjiang, China, is situated at a potential copper mineralization zone in association with small granitic intrusions. In order to identify the alteration zones and mineralization characteristics of the intrusions, Landsat Enhanced Thematic Mapper (ETM+) and Quickbird data of the study area were evaluated in mapping lithological units, small intrusions, and alteration zones. False color composites of the first principal component analyses (PCA1), PCA2, and PCA4 in red (R), green (G), and blue (B) of the ETM+ image, and relevant hue-saturation-intensity (HSI) color model transformations, were performed. This led to the identification of lithologic units and discrimination of granitic intrusions from wall-rocks. A new geological map was generated by integrating the remote sensing results with two internally published local geologic maps and field inspection data. For the selected region, false color composites from PCA and relevant HSI-transformed images of the Quickbird data delineated the details of small intrusions and identified other unknown similar intrusions nearby. Fifteen separate potash-feldspar granites and three separate hornblende biotite granites were identified using ETM+ and Quickbird data. The principal component analysis-based Crosta technique was employed to discriminate alteration minerals. Some of the mapped alteration zones using the Crosta technique agreed very well with the known copper deposits. Field verification led to the discovery of three copper mineralizations and two gold mineralizations for the first time. The results show that the PCA and HSI transformation techniques proved to be robust in processing remote sensing data with moderate to high spatial resolutions. It is concluded that the utilized methods are useful for mapping lithology and the targeting of small intrusion-type mineral resources within the sparsely vegetated regions of Northwest China.
Keywords: West Junggar; ETM+; Quickbird; principal component analyses; HSI color model; Crosta technique
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MDPI and ACS Style
Liu, L.; Zhou, J.; Jiang, D.; Zhuang, D.; Mansaray, L.R.; Zhang, B. Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China. Remote Sens. 2013, 5, 3156-3171.
Liu L, Zhou J, Jiang D, Zhuang D, Mansaray LR, Zhang B. Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China. Remote Sensing. 2013; 5(7):3156-3171.
Liu, Lei; Zhou, Jun; Jiang, Dong; Zhuang, Dafang; Mansaray, Lamin R.; Zhang, Bing. 2013. "Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China." Remote Sens. 5, no. 7: 3156-3171.