Mapping hydrothermal minerals using remotely sensed reflectance spectroscopy data from Landsat

被引:14
|
作者
Mahboob, M. A. [1 ]
Genc, B. [1 ]
Celik, T. [2 ]
Ali, S. [3 ]
Atif, I [3 ]
机构
[1] Univ Witwatersrand, Sch Min Engn, Johannesburg, South Africa
[2] Univ Witwatersrand, Sch Comp Sci & Appl Math, Johannesburg, South Africa
[3] Natl Univ Sci & Technol, Sch Adv Geomech Engn, Islamabad, Pakistan
关键词
remote sensing; mineral mapping; reflectance spectroscopy; Landsat; mineral exploration; hydrothermal alteration; PRINCIPAL COMPONENT ANALYSIS; RESOLUTION SATELLITE; ASTER DATA; TM-DATA; EXPLORATION; SPECTRUM; DEPOSITS; COMPLEX; PERFORMANCE; SIMULATION;
D O I
10.17159/2411-9717/2019/v119n3a7
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Mapping of hydrothermally altered areas, which are usually associated with mineralization, is essential in mineral exploration. In this research, open source reflectance spectroscopy data from the multispectral moderate-resolution Landsat 8 satellite was used to map altered rocks in the Gauteng and Mpumalanga provinces of South Africa. The unique spectral reflectance and absorption characteristics of remotely sensed Landsat data in the visible, near-infrared (NIR), shortwave-infrared (SWIR) and thermal infrared (TIR) regions of the electromagnetic spectrum were used in different digital image processing techniques. The band ratios (red/blue, SWIR 2/NIR, SWIR 1/NIR), spectral band combinations (Kaufmann ratio, Sabins ratio) and principal component analysis (Crosta technique) were applied to efficiently and successfully map hydrothermal alteration minerals. The results showed that the combination of spectral bands and the principal component analysis method is effective in delineating mineral alteration through remotely sensed satellite data. The validation of results by using the published mineral maps of the Council for Geoscience South Africa showed a good relationship with the identified zones of mineralization. The methodology developed in this study is cost-effective and time-saving, and can be applied to inaccessible and/or new areas with limited ground-based knowledge to obtain reliable and up-to-date mineral information.
引用
收藏
页码:279 / 289
页数:11
相关论文
共 50 条
  • [41] Quantitative Assessment of Remotely Sensed Global Surface Models Using Various Land Classes Produced from Landsat Data in Istanbul
    Naci YASTIKLI
    Umut G SEFERCIK
    Fatih ESIRTGEN
    Chinese Geographical Science, 2014, (03) : 307 - 316
  • [42] Quantitative assessment of remotely sensed global surface models using various land classes produced from Landsat data in Istanbul
    Naci Yastikli
    Umut G. Sefercik
    Fatih Esirtgen
    Chinese Geographical Science, 2014, 24 : 307 - 316
  • [43] Soft thematic mapping from remotely sensed data: Production, interpretation and accuracy assessment
    Binaghi, E
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING VI, 2001, 4170 : 167 - 181
  • [44] Quantitative assessment of remotely sensed global surface models using various land classes produced from Landsat data in Istanbul
    Yastikli, Naci
    Sefercik, Umut G.
    Esirtgen, Fatih
    CHINESE GEOGRAPHICAL SCIENCE, 2014, 24 (03) : 307 - 316
  • [45] Automated mapping of linear dunefield morphometric parameters from remotely-sensed data
    Telfer, M. W.
    Fyfe, R. M.
    Lewin, S.
    AEOLIAN RESEARCH, 2015, 19 : 215 - 224
  • [46] Water erosion risk mapping using derived parameters from digital elevation model and remotely sensed data
    Maimouni, Soufiane
    El-Harti, Abderrazak
    Bannari, Abderrazak
    Bachaoui, El-Mostafa
    GEO-SPATIAL INFORMATION SCIENCE, 2012, 15 (03) : 157 - 169
  • [47] Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
    Stevens, Forrest R.
    Gaughan, Andrea E.
    Linard, Catherine
    Tatem, Andrew J.
    PLOS ONE, 2015, 10 (02):
  • [48] Land Cover Mapping from Remotely Sensed and Auxiliary Data for Harmonized Official Statistics
    Costa, Hugo
    Almeida, Diana
    Vala, Francisco
    Marcelino, Filipe
    Caetano, Mario
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (04)
  • [49] Estimating live fuel moisture content from remotely sensed reflectance
    Danson, FM
    Bowyer, P
    REMOTE SENSING OF ENVIRONMENT, 2004, 92 (03) : 309 - 321
  • [50] ERROR IN PREDICTING HYDROSOL BACKSCATTERING FROM REMOTELY-SENSED REFLECTANCE
    WEIDEMANN, AD
    STAVN, RH
    ZANEVELD, JRV
    WILCOX, MR
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1995, 100 (C7) : 13163 - 13177