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Remote Sensing for Land & Resources    2020, Vol. 32 Issue (1) : 98-105     DOI: 10.6046/gtzyyg.2020.01.14
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Study of ore control information in Rongle area of Tibet based on high resolution remote sensing data
Lihua FU, Ce ZHANG
Airborne Survey and Remote Sensing Center of Nuclear Industry, Shijiazhuang 050002, China
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Abstract  

High-resolution remote sensing data have rich information and hence can be used to better identify micro-lithology, structure and other ore-controlling information. In order to study the extraction of ore-controlling information of high-resolution remote sensing data in Rongle area of Tibet where the elevation is high and the bedrock is exposed, the authors interpreted the ore-controlling information of strata, lithology, rock mass, structure, contact zone and other information closely related to copper polymetallic mineralization in this area on the basis of the best band combination determined by WorldView-2 high-resolution remote sensing data. Using ASTER data, the authors employed principal component analysis (PCA) to extract the mineralization-related remote sensing alteration information of iron stain, aluminum hydroxyl group and magnesium hydroxyl group. Based on comprehensive regional copper mineralization rules, the authors constructed a remote sensing prospecting model for ore-controlling information of magmatic hydrothermal copper deposits through human-computer interaction interpretation. Five prospecting targets were delineated and good mineralization clues were found through field investigation. The results provide basic information and reference basis for promoting local prospecting process. The results show that the high-resolution remote sensing data can meet the needs of mineral resources exploration and resource evaluation in the high-altitude environment hostile areas in Western China and highlight the fast, efficient and reliable application effect of high-resolution remote sensing.
Keywords high resolution remote sensing      ore control information      prospecting applications      Rongle area     
:  TP79  
Issue Date: 14 March 2020
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Lihua FU
Ce ZHANG
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Lihua FU,Ce ZHANG. Study of ore control information in Rongle area of Tibet based on high resolution remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(1): 98-105.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.01.14     OR     https://www.gtzyyg.com/EN/Y2020/V32/I1/98
Fig.1  Remote sensing interpretation result of mineral control information in Rongle area
Fig.2  WorldView-2 B8(R), B4(G), B2(B) pseudo-color composite image and alteration anomaly distribution in Rongle area
Fig.3  Geological mineralization information in Jiabuya
控矿信息要素 地质信息特征 遥感信息特征
大地构造位置 班公湖—怒江结合带西段阿翁错陆缘火山岩浆弧带 —
导矿、赋矿构造 NW向区域断裂为导矿断裂,次级断裂为赋矿构造 线性色调影纹特征,地貌显示呈直线形的山脊或沟谷
矿化层位、岩性 白垩系去申拉组(K1q)蚀变安山岩、玄武安山岩、砂岩和板岩等 蓝灰色夹黄色条带,斑状、条带状影纹,影纹粗糙,树枝状水系、局部羽状水系,水系密度较大,条状地形、丘陵地貌、山脊浑圆
岩浆活动 燕山晚期中酸性侵入体 灰红色、灰黄色,浑圆状、透镜状,与围岩边界清晰; 圆顶缓坡中低山,放射状水系,环弧状影像清楚
成矿部位 侵入岩与去申拉组(K1q)的接触带 色调、影纹界面,条带状色调异常
蚀变异常 绿泥石化、绿帘石化和绢云母化、高岭石化 主要为铁染(Fe2+和Fe3+)异常,其次为铝羟基(Al-OH)异常
野外找矿线索 黄铜矿化、黄铁矿化和孔雀石化是矿化露头的直接标志 —
Tab.1  Remote sensing prospecting mode in Rongle area
Fig.4  Field confirmation of target area Ⅴ
编
号		 采样
点号		 Au/
(g·t-1)		 Ag/
(g·t-1)		 Cu/% Pb/% Zn/% Mo/
(g·t-1)		 Cr/
(g·t-1)		 Ni/
(g·t-1)		 Fe/% Ti/
(g·t-1)		 As/
(g·t-1)		 Sb/
(g·t-1)
1 D1016 7.32 280.00 16.85 84.70 11.90 1.02 11.40 4.20 3.70 249.00 61.00 8.58
2 D1016 0.16 5.09 0.31 27.40 11.50 1.94 12.00 5.50 3.32 105.00 83.00 2.32
3 D1017 0.65 92.60 3.53 44.40 8.40 1.34 9.80 5.50 3.09 50.00 3.50 0.53
4 D1018 11.90 194.00 35.97 180.00 8.90 30.00 8.90 2.50 9.12 196.00 2.40 0.35
5 D2013 — 6.27 0.82 11.90 69.80 6.51 76.60 21.40 3.91 2880.00 21.00 0.48
6 D2013 0.77 91.30 1.70 10.20 13.70 1.29 7.90 4.40 2.40 129.00 3.40 0.35
Tab.2  Semi-quantitative analysis of copper mineralized samples in the target areas
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