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首页> 外文期刊>Remote Sensing >Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
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Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China

机译:青藏高原多龙斑岩铜金矿床热液蚀变矿物制图的ASTER和Landsat-8 OLI(AO)积分数据

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One of the most important characteristics of porphyry copper deposits (PCDs) is the type and distribution pattern of alteration zones which can be used for screening and recognizing these deposits. Hydrothermal alteration minerals with diagnostic spectral absorption properties in the visible and near-infrared (VNIR) through the shortwave infrared (SWIR) regions can be identified by multispectral and hyperspectral remote sensing data. Six Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) bands in SWIR have been shown to be effective in the mapping of Al-OH, Fe-OH, Mg-OH group minerals. The five VNIR bands of Landsat-8 (L8) Operational Land Imager (OLI) are useful for discriminating ferric iron alteration minerals. In the absence of complete hyperspectral coverage area, an opportunity, however, exists to integrate ASTER and L8-OLI (AO) to compensate each other’s shortcomings in covering area for mineral mapping. This study examines the potential of AO data in mineral mapping in an arid area of the Duolong porphyry Cu-Au deposit(Tibetan Plateau in China) by using spectral analysis techniques. Results show the following conclusions: (1) Combination of ASTER and L8-OLI data (AO) has more mineral information content than either alone; (2) The Duolong PCD alteration zones of phyllic, argillic and propylitic zones are mapped using ASTER SWIR bands and the iron-bearing mineral information is best mapped using AO VNIR bands; (3) The multispectral integration data of AO can provide a compensatory data of ASTER VNIR bands for iron-bearing mineral mapping in the arid and semi-arid areas.
机译:斑岩型铜矿床(PCDs)最重要的特征之一是蚀变带的类型和分布模式,可用于筛选和识别这些矿床。可以通过多光谱和高光谱遥感数据来识别在短波红外(SWIR)区域具有可见光谱和近红外光谱(VNIR)具有诊断光谱吸收特性的热液蚀变矿物。研究表明,SWIR中的六个先进的星载热发射和反射辐射计(ASTER)波段可有效绘制Al-OH,Fe-OH,Mg-OH类矿物。 Landsat-8(L8)运行中的陆地成像仪(OLI)的五个VNIR波段可用于区分铁铁蚀变矿物。然而,在没有完整的高光谱覆盖区域的情况下,存在整合ASTER和L8-OLI(AO)的机会,以弥补彼此在矿物制图覆盖区域上的缺点。本研究利用光谱分析技术,研究了多龙斑岩铜金矿床(中国西藏高原)干旱区的矿物图谱中的AO数据潜力。结果表明:(1)结合ASTER和L8-OLI数据(AO)具有比单独的任何一种都更多的矿物信息含量; (2)利用ASTER SWIR谱带绘制出叶龙,藻类和丙炔化区的Duolong PCD蚀变带,利用AO VNIR谱带绘制出含铁矿物质的最佳信息。 (3)AO的多光谱积分数据可以为干旱和半干旱地区的含铁矿物测绘提供ASTER VNIR波段的补偿数据。

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