首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Potential of airborne hyperspectral data for geo-exploration over parts of different geological/metallogenic provinces in India based on AVIRIS-NG observations
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Potential of airborne hyperspectral data for geo-exploration over parts of different geological/metallogenic provinces in India based on AVIRIS-NG observations

机译:基于Aviris-NG观察的印度不同地质/成矿省份的地质勘探空气勘探数据的潜力

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In this article, we discuss the potential of airborne hyperspectral data in mapping host rocks of mineral deposits and surface signatures of mineralization using AVIRIS-NG data of a few important geological provinces in India. We present the initial results from the study sites covering parts of northwest India, as well as the Sittampundi Layered Complex (SLC) of Tamil Nadu and the Wajrakarur Kimberlite Field (WKF) of Andhra Pradesh from southern India. Modified spectral summary parameters, originally designed for MRO-CRISM data analysis, have been implemented on AVIRIS-NG mosaic of Jahazpur, Rajasthan for the automatic detection of phyllosilicates, carbonates and Fe-Mg-silicates. Spectral analysis over Ambaji and the surrounding areas indicates the presence of calcite across much of the study area with kaolinite occurring as well in the north and east of the study area. The deepest absorption features at around 2.20 and 2.32 mu m and integrated band depth were used to identify and map the spatial distribution of phyllosilicates and carbonates. Suitable thresholds of band depths were applied to map prospective zones for marble exploration. The data over SLC showed potential of AVIRIS-NG hyperspectral data in detecting mafic cumulates and chromitites. We also have demonstrated the potential of AVIRIS-NG data in detecting kimberlite pipe exposures in parts of WKF.
机译:在本文中,我们讨论了使用印度一些重要地质省份的Aviris-NG数据在矿物沉积物和矿化的矿物沉积物和表面签名中进行空气沉积和表面签名的潜力。我们介绍了覆盖了西北印度西北部的部分的研究网站以及泰米尔纳德邦的Sittampundi分层复合体(SLC)以及来自印度南部的Andhra Pradesh的Sittampundi分层复合体(WKF)。改进的光谱摘要参数最初设计用于MROR CRISC数据分析,已在Jahazpur的Aviris-Ng Mosaic上实施,Rajasthan,用于自动检测文化,碳酸盐和Fe-Mg-硅酸盐。 Ambaji和周边地区的光谱分析表明,在研究区域的北部和东部发生的高知识域中的大部分研究区域,也是在研究区的大部分研究区域的存在。左右2.20和2.32μm和集成带深的最深吸收特征用于识别和映射文学和碳酸盐的空间分布。适用于带深的频带深度阈值来映射用于大理石勘探的预期区域。 SLC上的数据显示了检测MAFIC累积和铬酸盐中的Aviris-NG Hyperspectral数据的潜力。我们还证明了Aviris-NG数据在WKF部分中检测Kimberlite管道曝光的潜力。

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