Abstract

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.

Highlights

  • Remote sensing has proven a valuable aid during the early stages of mineral exploration in alteration mineral mapping [1,2]

  • Minimum Noise Fraction (MNF) is a variation of the Principal Component Analysis (PCA) procedure, designed to relegate spatially incoherent noise to higher-order channels that can be excluded from subsequent analyses [37,79]

  • The ASTER visible and near-infrared (VNIR) through the shortwave infrared (SWIR) data and the intergrating of ASTER and L8-Operational Land Imager (OLI) (AO) VNIR data are used for hydrothermal alteration mineral mapping in the Duolong porphyry copper deposits (PCD) of the Tibetan Plateau

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Summary

Introduction

Remote sensing has proven a valuable aid during the early stages of mineral exploration in alteration mineral mapping [1,2]. 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 [4,5,6]. River [7,8,9,10,11], have been found in the Tibetan Plateau Their representative deposits are the PCDs of Yulong, Qulong, and Duolong. Furthering the exploration of porphyry copper deposits in the Tibetan Plateau will require taking advantage of remote sensing technology and carrying out a large area of alteration mineral mapping for quickly identifying the prospected target ore areas

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