Hydrothermal minerals mapping using based on remotely sensed data from Sentinel 2 sattelite: a case study in Vinh Phuc province, Northern Vietnam

Hydrothermal minerals mapping using based on remotely sensed data from Sentinel 2 sattelite: a case study in Vinh Phuc province, Northern Vietnam

Автор: Trinh Le Hung

Журнал: Горные науки и технологии @gornye-nauki-tekhnologii

Рубрика: Технологическая безопасность в минерально-сырьевом комплексе и охрана окружающей среды

Статья в выпуске: 4, 2019 года.

Бесплатный доступ

This paper presents the experiences obtained in the application of Principal Component Analysis (PCA) method to map hydrothermal minerals based on remotely sensed data. In this study, Sentinel-2B MultiSpectral Instrument (MSI) image is used to detect distribution of hydroxyl-bearing minerals in Vinh Phuc province, northern Vietnam. Four bands of Sentinel-2B image including blue band (band 2), Vegetation Red Edge band (band 8A) and SWIR bands (band 11 and 12) are used to calculate the Principal Components, thenand then select the Principal Component, which containing provides information on the hydrothermal minerals information. The obtained results findings show that the methodology and data are effective in detecting and mapping hydrothermal mineralization.

Еще

Remote sensing, hydroxyl-bearing minerals, principle component analysis, sentinel 2, vietnam, сентинель 2 (sentinel 2)

Короткий адрес: https://sciup.org/140248966

IDR: 140248966   |   DOI: 10.17073/2500-0632-2019-4-309-317

Список литературы Hydrothermal minerals mapping using based on remotely sensed data from Sentinel 2 sattelite: a case study in Vinh Phuc province, Northern Vietnam

  • Abrams M. J. (1983). Remote sensing of porphyry copper in Southern Arizona, Economic Geology, 78, 591-604.
  • Crosta A. P., Moore J. M. (1989). Enhancement of LANDSAT Thematic Mapper imagery for residual soil mapping in SW Minas Gerais State Brazil: a prospecting case history in greenstone belt terrain, Proceedings of the 9th Thematic Conference on Remote Sensing for Exploration Geology, Calgary (Ann Arbor, MI: Environmental Research Institute of Michigan), pp. 1173-1187.
  • Clark R. N., Swayze G. A., Wise R., Livo K. E., Hoefen T. M., Kokaly R. F., Sutley S. J. (1989). USGS Digital Spectral library, USGS Open file Rep.
  • Fongaro C., Dematte J., Rizzo R., Safanelli J., Mendes W., Dotto A., Vicente L., Franceschini M., Ustin S. (2018). Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images, Remote Sensing, 10, 1555, DOI: 10.3390/rs10101555
  • Fraster S. J., Green A. A. (1997). A software defoliant for geological analysis of band ratio, International Journal of Remote Sensing, Vol.8, 525 - 532.
  • Hu B., Xu Y., Wan B., Wu X., Yi G. (2018). Hydrothermally altered mineral mapping using synthetic application of Sentinel-2A MSI, ASTER and Hyperion data in the Duolong area, Tibetan Plateau, China, Ore Geology Reviews, 101, 384 - 397.
  • Hunt G. R., Ashley R. P. (1979). Spectra of altered rocks in the visible and near infrared, Economic Geology, Vol. 74, 1613 - 1629.
  • Kaufman H. (1988). Mineral exploration along the Agaba-Levant structure by use of TM-data concepts, processing and results, International Journal of Remote Sensing, 9: 1630-1658.
  • Lobo F., Souza-Filho P., Novo E., Carlos F., Barbosa C. (2018). Mapping mining areas in the Brazilian Amazon using MSI/Sentinel-2 imagery (2017), Remote Sensing, 10, 1178, 15 pp.
  • Loughlin W. P. (1991). Principal component analysis for alteration mapping, Photogrammetric Engineering and Remote Sensing, 57(g), 1163-1169
  • Mahboob M., Genc B., Celik T., Ali S. Atif I. (2019). Mapping hydrothermal minerals using remotely sensed reflectance spectroscopy data from Landsat, Journal of the Southern African Institute of Mining and Metallurgy, Vol.119(3), 279 - 289.
  • Mia M.B., Fujimitsu Y. (2012). Mapping hydrothermal altered mineral deposits using LANDSAT 7 ETM+ image in and around Kuju volcano, Kyushu, Japan, Journal Earth System Science, Vol. 121(4), pp.1049 - 1057.
  • Mielke C., Bosche N., Rogass C., Segl K., Cauert C., Kaufmann H. (2014). Potential applications of the Sentinel-2 multispectral sensor and the Enmap hyperspectral sensor in mineral exploration, EARSeL e Proceedings 13, 93 - 102.
  • Pahlevan N., Sarkar S., Franz B., Balasubramanian S., He J. (2017). Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations, Remote Sensing of Environment, Vol. 201, 47-56
  • Pour A. B., Park T., Park Y., Hong J., Zoheir B., Pradhan B., Ayoobi I., Hashim M. (2018). Application of Multi-Sensor Satellite Data for Exploration of Zn-Pb Sulfide Mineralization in the Franklinian Basin, North Greenland, Remote Sensing, 10(8), 1186,
  • DOI: 10.3390/rs10081186
  • Trinh L.H. (2016). Application of remote sensing technique to detect and map iron oxide, clay minerals and ferrous minerals in Thai Nguyen province, Mining Science and Technology, Vol. 1, 60 - 66.
  • Trinh L.H., Zablotskii V.R. (2019). The Method of Detection of Clay Minerals and Iron Oxide Based on Landsat Multispectral Images (as Exemplified in the Territory of Thai Nguyen Province, Vietnam), Mining Science and Technology, Vol.4(1), 65 - 75.
  • Van der Meer F. D., van der Werff H. M. A., van Ruitenbeek F. J. A. (2014). Potential of ESA's Sentinel-2 for geological applications, Remote Sensing of Environment, 148, 124-133.
  • www.vinhphuc.gov.vn.
  • http://idm.gov.vn.
Еще
Статья научная
QR-код для установки приложения SciUp Наведите камеру и скачайте бесплатное приложение SciUp