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Erschienen in:
Application of Unmanned Aerial Vehicles for Surveying and Mapping in Mines: A Review Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

An Automatic Method for Clay Minerals Extraction from Landsat 8 OLI Data. A Case Study in Chi Linh City, Hai Duong Province

verfasst von : Trinh Le Hung, Nguyen Sach Thanh, Vuong Trong Kha

Erschienen in: Advances in Geospatial Technology in Mining and Earth Sciences

Verlag: Springer International Publishing

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Abstract

Landsat satellite data have been effectively used for mineral resources extraction. This paper presents an automatic method for clay minerals extraction from Landsat 8 OLI image based on band rationing and principal component analysis methods. Firstly, the Landsat 8 data is used to calculate the NIR/RED (band5/band4) and SWIR1/SWIR2 (band6/band7) band rationing images. To highlight the distribution of clay minerals, these band rationing images are further used to multiply the digital number values of NIR and SWIR2 bands, then obtaining (band5/4) × band5 and (band6/7) × band7 images. Finally, the principal component analysis (PCA) method is used to calculate the principal components, then select the 2nd principal component (PC2) to detect clay minerals by the automatic thresholding method. The results in this research can be used to provide input information for mineral exploration.

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Literatur
1.
Luu, D.-H., Nguyen, T.H.-L.: Renewable energy policies for sustainable development in Vietnam. Vietnam National Univ. J. Sci. Earth Environ. Sci. 25(3), 133–142 (2009)
2.
3.
Goetz, A.-F., Rock, F.-H., Rowa, B.-N.: Remote sensing for exploration: an overview. Econ. Geol. 78, 573–590 (1983)CrossRef
4.
Rajesh, H.-M.: Application of remote sensing and GIS in mineral resource mapping–An review. J. Mineral. Petrol. Sci. 99(3), 83–103 (2004)CrossRef
5.
Abrams, M.-J.: Remote sensing of porphyry copper in Southern Arizona. Econ. Geol. 78, 591–604 (1983)CrossRef
6.
Abrams, M.-J., Hook, S.-J.: Simulated Aster data for geologic studies. IEEE Trans. Geosci. Remote Sens. 33, 692–699 (1995)ADSCrossRef
7.
Hu, B., Xu, Y., Wan, B., Wu, X., Yi, G.: Hydrothermally altered mineral mapping using synthetic application of Sentinel-2A MSI, ASTER and Hyperion data in the Duolong area, Tibetan Plateau, China. Ore Geol. Rev. 101, 384–397 (2018)CrossRef
8.
Roman, A., Ursu, T.: Multispectral satellite imagery and airborne laser scanning techniques for the detection of archaeological vegetation marks. In: Landscape archaeology on the northern frontier of the Roman Enpire at porolissum–an interdiscliplinary research project. Mega Publishing House (2016)
9.
Van der Meer, F.D., van der Werff, H.M.A., van Ruitenbeek, F.J.A.: Potential of ESA’s Sentinel-2 for geological applications. Remote Sens. Environ. 148, 124–133 (2014)ADSCrossRef
10.
Alasta, A.-F.: Using remote sensing data to indentify iron deposits in central western Libya. In: International Conference on Emerging trends in Computer and Image processing, Bangkok, 56–61 (2011)
11.
Bennett, S.-A., Atkinson, W.-W., Kruse, F.-A.: Use of Thematic Mapper imagery to identify mineralization in the Santa Teresa district, Sonora, Mexico. Int. Geol. Rev. 35, 1009–1029 (1993)CrossRef
12.
Carranza, E.J.-M., Hale, M.: Mineral imaging with Landsat Thematic Mapper data for hydrothermal alteration mapping in heavily vegetated terrane. Int. J. Remote Sens. 23, 4827–4852 (2002)CrossRef
13.
Crosta, A.-P., Moore, J.-M.: Enhancement of LANDSAT Thematic Mapper imagery for residual soil mapping in SW Minas Gerais State Brazil: a prospecting case history in greenstone belt terrain. In: Proceedings of the 9th Thematic Conference on Remote Sensing for Exploration Geology, Calgary (Ann Arbor, MI: Environmental Research Institute of Michigan), 1173–1187 (1989)
14.
Kaufman, H.: Mineral exploration along the Agaba-Levant structure by use of TM-data concepts, processing and results. Int. J. Remote Sens. 9, 1630–1658 (1988)
15.
Crosta, A.-P., Rabelo, A.: Assessing Landsat TM for hydrothermal mapping in central-western Brazil. In: Proceedings of the Ninth Thematic Conference on Geologic Remote Sensing, Pasadena, California, USA, 1053–1061 (1993)
16.
Mia, M.-B., Fujimitsu, Y.: Mapping hydrothermal altered mineral deposits using LANDSAT 7 ETM+ image in and around Kuju volcano, Kyushu, Japan. J. Earth Syst. Sci. 121(4), 1049–1057 (2012)ADSCrossRef
17.
Pour, A.-B., Hashim, M.: Integrating PALSAR and ASTER data for mineral deposits exploration in tropical environments: a case study from Central Belt, Peninsular Malaysia. Int. J. Image Data Fusion 6(2), 170–188 (2015)ADSCrossRef
18.
Fraster, S.-J., Green, A.-A.: A software defoliant for geological analysis of band ratio. Int. J. Remote Sens. 8, 525–532 (1987)CrossRef
19.
Trinh, L.H., Zablotskii, V.R.: 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). Min. Sci. Technol. 4(1), 65–75 (2019)
20.
Trinh, L.H., Nguyen, V.N.: Mapping coal files using Normalized Difference Coal Fire Index (NDCfI): case study at Khanh Hoa coai mine, Vietnam. Min. Sci. Technol. 6(4), 233–240 (2021)
21.
Trinh, L.H.: Application of band ratio method to detect iron oxide, clay minerals and ferrous minerals. Min. Ind. J. 4, 19–24 (2013)
22.
23.
24.
25.
Clark, R.-N., Swayze, G.-A., Wise, R., Livo, K.-E., Hoefen, T.-M., Kokaly, R.-F., Sutley, S.-J.: USGS digital spectral library. USGS Open File Rep (1989)
26.
Hunt, G.-R., Ashley, R.-P.: Spectra of altered rocks in the visible and near infrared. Econ. Geol. 74, 1613–1629 (1979)CrossRef
27.
Clark, R.-N.: Spectroscopy of rock and minerals and principles of spectroscopy. In: Rencz, A.-N. (ed.) Remote Sensing for the Earth Sciences, Manual of Remote Sensing 3, pp. 3–58. Wiley, New York (1999)
28.
Mohamed, E.-S., Saleh, A.-M., Belal, A.-B., Gad, Abd. -A.: Application of near-infrared reflectance for quantitative assessment of soil properties. Egypt. J. Remote Sens. Space Sci. 21(1), 1–14 (2018)
29.
Loughlin, W.-P.: Principal component analysis for alteration mapping. Photogram. Eng. Remote Sens. 57(g), 1163–1169 (1991)
30.
Metadaten
Titel
An Automatic Method for Clay Minerals Extraction from Landsat 8 OLI Data. A Case Study in Chi Linh City, Hai Duong Province
verfasst von
Trinh Le Hung
Nguyen Sach Thanh
Vuong Trong Kha
Copyright-Jahr
2023
Buch
Advances in Geospatial Technology in Mining and Earth Sciences

Print ISBN: 978-3-031-20462-3

Electronic ISBN: 978-3-031-20463-0

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-20463-0_7