Hydrothermally altered mineral mapping using synthetic application of Sentinel-2A MSI, ASTER and Hyperion data in the Duolong area, Tibetan Plateau, China

Abstract The Duolong area is in a strong potential copper mineralization zone associated with felsic intrusions, and several porphyry copper deposits (PCDs) have been identified. The PCDs are characterized by hydrothermal alteration zones. In this study, Sentinel-2A MultiSpectral Instrument (MSI), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Hyperion data are combined to map hydrothermally altered minerals. Three temporal Sentinel-2A MSI images are processed by integrating the Crosta technique and the anomaly-overlaying selection method to map iron oxides and hydroxyl-bearing minerals. These approaches are implemented to omit interference-induced false anomalies. The six shortwave infrared (SWIR) bands of ASTER are used to extract information on Al-OH and Mg-OH group minerals. The distribution of Al-OH minerals in the ASTER image map corresponds to that of hydroxyl-bearing minerals in the MSI image map. A combination of minimum noise fraction (MNF), pixel purity index (PPI), n-dimensional visualizer (n-D Visualizer) and matched filtering (MF) is adopted to process the Hyperion image to obtain accurate hydrothermal alteration mapping results. The overall accuracy for mineral mapping is 92.75% and the kappa coefficient is 0.89. The results of the Hyperion image are spatially consistent with those of the Sentinel-2A MSI and ASTER images. The image processing results were validated by field investigations and spectral reflectance measurements. Hydrothermally altered rocks correspond well with the five PCDs in the Duolong area. Three mineralization prospects associated with felsic intrusions are discovered in accordance with the results. The methodologies and data are effective in detecting porphyry copper mineralization in other arid areas.

[1]  Chen Yuchuan,et al.  Mineralization,alteration and vein systems of the Bolong porphyry copper deposit in the Duolong ore concentration area,Tibet , 2015 .

[2]  Majid H. Tangestani,et al.  Iron oxide and hydroxyl enhancement using the Crosta Method: a case study from the Zagros Belt, Fars Province, Iran , 2000 .

[3]  E. Bedini.  Mineral mapping in the Kap Simpson complex, central East Greenland, using HyMap and ASTER remote sensing data , 2011 .

[4]  Yasushi Yamaguchi,et al.  ASTER instrument characterization and operation scenario , 1999 .

[5]  Chen Chen,et al.  Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine , 2014, Remote. Sens..

[6]  P. Switzer,et al.  A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .

[7]  L. Rowan,et al.  Regional mapping of phyllic- and argillic-altered rocks in the Zagros magmatic arc, Iran, using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and logical operator algorithms , 2006 .

[8]  Mahesh Pal.  Extreme‐learning‐machine‐based land cover classification , 2008, ArXiv.

[9]  Ling Han,et al.  Mineral mapping and ore prospecting using Landsat TM and Hyperion data, Wushitala, Xinjiang, northwestern China , 2017 .

[10]  Hermann Kaufmann,et al.  Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2 , 2014, Remote. Sens..

[11]  Yusuf Eshqi Molan,et al.  Mineral mapping in the Maherabad area, eastern Iran, using the HyMap remote sensing data , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[12]  Xin Li,et al.  Subduction of a spreading ridge within the Bangong Co–Nujiang Tethys Ocean: Evidence from Early Cretaceous mafic dykes in the Duolong porphyry Cu–Au deposit, western Tibet , 2017 .

[13]  Mazlan Hashim,et al.  Detection of hydrothermal alteration zones in a tropical region using satellite remote sensing data: Bau Goldfield, Sarawak, Malaysia , 2013 .

[14]  L. Rowan,et al.  Distribution of hydrothermally altered rocks in the Reko Diq, Pakistan mineralized area based on spectral analysis of ASTER data , 2006 .

[15]  Chee Kheong Siew,et al.  Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[16]  R. Langford.  Temporal merging of remote sensing data to enhance spectral regolith, lithological and alteration patterns for regional mineral exploration , 2015 .

[17]  Lawrence C. Rowan,et al.  Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals , 2010 .

[18]  W. P. Loughlin,et al.  PRINCIPAL COMPONENT ANALYSIS FOR ALTERATION MAPPING , 1991 .

[19]  Xianfeng Zhang,et al.  Comparison of lithologic mapping with ASTER, hyperion, and ETM data in the southeastern Chocolate Mountains, USA , 2007 .

[20]  F. Sabins,et al.  Remote sensing for mineral exploration , 1999 .

[21]  S. Gabr,et al.  Detecting areas of high-potential gold mineralization using ASTER data , 2010 .

[22]  L. Rowan,et al.  Lithologic mapping of the Mordor, NT, Australia ultramafic complex by using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) , 2005 .

[23]  James K. Crowley,et al.  Comparative alteration mineral mapping using visible to shortwave infrared (0.4-2.4 μm) Hyperion, ALI, and ASTER imagery , 2003, IEEE Trans. Geosci. Remote. Sens..

[24]  Lei Liu,et al.  Mineral resources prospecting by synthetic application of TM/ETM+, Quickbird and Hyperion data in the Hatu area, West Junggar, Xinjiang, China , 2016, Scientific Reports.

[25]  T. Cudahy,et al.  Using the Geoscience Australia-CSIRO ASTER maps and airborne geophysics to explore Australian geoscience , 2015 .

[26]  F. Moore,et al.  Mapping mineralogical alteration using principal‐component analysis and matched filter processing in the Takab area, north‐west Iran, from ASTER data , 2008 .

[27]  Steven E. Franklin,et al.  A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery , 2012 .

[28]  Qin Wang,et al.  Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China , 2016, Remote. Sens..

[29]  T. Kusky,et al.  Remote sensing detection of gold related alteration zones in Um Rus area, Central Eastern Desert of Egypt , 2012 .

[30]  M. Hashim,et al.  The application of ASTER remote sensing data to porphyry copper and epithermal gold deposits , 2012 .

[31]  Giorgos Mountrakis,et al.  A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research , 2016 .

[32]  Matthias Drusch,et al.  Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .

[33]  A. Solberg,et al.  Oil spill detection by satellite remote sensing , 2005 .

[34]  Harald van der Werff,et al.  Sentinel-2A MSI and Landsat 8 OLI Provide Data Continuity for Geological Remote Sensing , 2016, Remote. Sens..

[35]  Darrel L. Williams,et al.  The Landsat 7 mission: terrestrial research and applications for the 21st century , 2001 .

[36]  Juan J. Flores,et al.  The application of artificial neural networks to the analysis of remotely sensed data , 2008 .

[37]  Guangxi Zhu,et al.  Adaptive fuzzy switching filter for images corrupted by impulse noise , 2004, 2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914).

[38]  A. R. Harrison,et al.  Standardized principal components , 1985 .

[39]  Harald van der Werff,et al.  Potential of ESA's Sentinel-2 for geological applications , 2014 .

[40]  Mark Coolbaugh,et al.  Mineral mapping in the Pyramid Lake basin: hydrothermal alteration, chemical precipitates and geothermal energy potential. , 2010 .

[41]  Lei Liu,et al.  Targeting Mineral Resources with Remote Sensing and Field Data in the Xiemisitai Area, West Junggar, Xinjiang, China , 2013, Remote. Sens..

[42]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .

[43]  Simon J. Hook,et al.  Mapping Hydrothermally Altered Rocks at Cuprite, Nevada, Using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a New Satellite-Imaging System , 2003 .

[44]  R. Sillitoe.  Porphyry Copper Systems , 2010 .

[45]  Zhu Xiang,et al.  Re-Os dating for the molybdenite from Bolong porphyry copper-gold deposit in Tibet, China and its geological significance , 2011 .

[46]  Hamid Reza Pourghasemi,et al.  Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China , 2018, Comput. Geosci..

[47]  W. Busch,et al.  A selective combined classification algorithm for mapping alterations on ASTER data , 2012 .

[48]  G. Beaudoin,et al.  Geochronology and geochemistry of porphyritic intrusions in the Duolong porphyry and epithermal Cu-Au district, central Tibet: Implications for the genesis and exploration of porphyry copper deposits , 2017 .

[49]  E. Bedini.  Mapping lithology of the Sarfartoq carbonatite complex, southern West Greenland, using HyMap imaging spectrometer data , 2009 .

[50]  Lawrence C. Rowan,et al.  Hyperspectral analysis of the ultramafic complex and adjacent lithologies at Mordor, NT, Australia , 2004 .

[51]  Bo Xiao,et al.  Magmatic-hydrothermal evolution of the Cretaceous Duolong gold-rich porphyry copper deposit in the Bangongco metallogenic belt, Tibet: Evidence from U-Pb and 40Ar/39Ar geochronology , 2011 .

[52]  Run Wang,et al.  Mapping US Urban Extents from MODIS Data Using One-Class Classification Method , 2015, Remote. Sens..

[53]  David P. Roy,et al.  Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination , 2016, Remote. Sens..

[54]  D. Zhuang,et al.  Alteration mineral mapping using masking and Crosta technique for mineral exploration in mid-vegetated areas: a case study in Areletuobie, Xinjiang (China) , 2011 .

[55]  Robert K. Vincent,et al.  Spectral characterization and ASTER-based lithological mapping of an ophiolite complex: A case study from Neyriz ophiolite, SW Iran , 2011 .

[56]  C. R. S. Filho,et al.  Alteration Mineralogy at the Cerro La Mina Epithermal Prospect, Patagonia, Argentina: Field Mapping, Short-Wave Infrared Spectroscopy, and ASTER Images , 2006 .

[57]  J. Lowell,et al.  Lateral and vertical alteration-mineralization zoning in porphyry ore deposits , 1970 .

[58]  P. Levelt,et al.  ESA's sentinel missions in support of Earth system science , 2012 .

[59]  Matthew J. Cracknell,et al.  Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information , 2014, Comput. Geosci..

[60]  Mazlan Hashim,et al.  Identification of hydrothermal alteration minerals for exploring of porphyry copper deposit using ASTER data, SE Iran , 2011 .

[61]  L. Rowan,et al.  Lithologic mapping in the Mountain Pass, California area using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data , 2003 .

[62]  Mazlan Hashim,et al.  Fusing ASTER, ALI and Hyperion data for enhanced mineral mapping , 2013 .

[63]  Fred A. Kruse,et al.  Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping , 2003, IEEE Trans. Geosci. Remote. Sens..

[64]  Mazlan Hashim,et al.  Identifying areas of high economic-potential copper mineralization using aster data in the urumieh-dokhtar volcanic belt, Iran , 2012 .

[65]  Bo Xiao,et al.  Petrogenesis of ore-bearing porphyries from the Duolong porphyry Cu-Au deposit, central Tibet: Evidence from U-Pb geochronology, petrochemistry and Sr-Nd-Hf-O isotope characteristics , 2013 .

[66]  G. Hunt.  SPECTRAL SIGNATURES OF PARTICULATE MINERALS IN THE VISIBLE AND NEAR INFRARED , 1977 .