Lithological mapping using remote sensing techniques: A case study of Alagbayan area, Dornogobi province, Mongolia
DOI:
https://doi.org/10.5564/mgs.v26i53.1790Keywords:
ASTER, Sentinel, Landsat, Support vector machine, Band RatioAbstract
This study investigated the multispectral remote sensing techniques including ASTER, Landsat 8 OLI, and Sentinel 2A data in order to distinguish different lithological units in the Alagbayan area of Dornogobi province, Mongolia. Therefore, Principal component analysis (PCA), Band ratio (BR), and Support Vector Machine (SVM), which are widely used image enhancement methods, have been applied to the satellite images for lithological mapping. The result of supervised classification shows that Landsat data gives a better classification with an overall accuracy of 93.43% and a kappa coefficient of 0.92 when the former geologic map and thin section analysis were chosen as a reference for training samples. Moreover, band ratios of ((band 7 + band 9)/band 8) obtained from ASTER corresponds well with carbonate rocks. According to PCs, PC4, PC3 and PC2 in the RGB of Landsat, PC3, PC2, PC6 for ASTER data are chosen as a good indicator for different lithological units where Silurian, Carboniferous, Jurassic, and Cretaceous formations are easily distinguished. In terms of Landsat images, the most efficient BR was a ratio where BRs of 5/4 for alluvium, 4/7 for schist and 7/6 to discriminate granite. In addition, as a result of BR as well as PCA, Precambrian Khutag-Uul metamorphic complex and Norovzeeg formation can be identified but granite-gneiss and schist have not given satisfactory results.
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Adiri, Z., El Harti, A., Jellouli, A., Maacha, L., Bachaoui, E.M. 2016. Lithological mapping using Landsat 8 OLI and Terra ASTER multispectral data in the Bas Drâa inlier, Moroccan Anti Atlas: Journal of Applied Remote Sensing, v. 10(1), 016005. https://doi:10.1117/1.JRS.10.016005
Amer, R., Kusky, T., Ghulam, A. 2010. Lithological mapping in the central Eastern Desert of Egypt using ASTER data: Journal of African Earth Sciences, v. 56(2), p. 75-82. https://doi.org/10.1016/j.jafrearsci.2009.06.004
Bachri, I., Hakdaoui, M., Raji, M., Teodoro, A.C., Benbouziane, A. 2019. Machine learning algorithms for automatic lithological mapping using remote sensing data: A case study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco: ISPRS International Journal of Geo-Information, v. 8(6), p. 1-20. https://doi.org/10.3390/ijgi8060248
Bentahar, I., Raji, M. 2020. Comparison of Landsat OLI, ASTER, and Sentinel 2A data in lithological mapping: A Case study of Rich area (Central High Atlas, Morocco): Advances in Space Research. v. 67. https://doi.org/10.1016/j.asr.2020.10.037
Bumburuu, G., Boldbaatar, G., Amarjargal, A., Altanshagai, Sh., Ganbaatar, T., Ariunzul, B. 2005. Report of the project of compilation of the 1: 200 000 scale Geological Map of Mongolia. State Geological Fund of Mineral Resources and Petroleum Authority of Mongolia. K-49-I. (in Mongolian)
Chuveico, E. 2016. Fundamentals of satellite remote sensing: An environmental approach. 2nd edition. CRC Press: Boca Raton, FL. 468 pp. https://doi.org/10.1177/2399808317711988
Çörtük, R.M., Çelik, Ö.F., Alkan, A., Özkan, M., Özyavas¸A. 2020. Distribution of rocks in Pınarbas Ophiolite from central Anatolia (Turkey) based on analysis of ASTER and Landsat-8 data: Geological Journal, v. 5(10), p. 6810-6822. https://doi.org/10.1002/gj.3844
Ge, W., Cheng, Q., Jing, L., Armenakis, C., Ding, H. 2018. Lithological discrimination using ASTER and Sentinel-2A in the Shibanjing ophiolite complex of Beishan orogenic in Inner Mongolia, China: Advances in Space Research. v. 62, p. 1702-1716. https://doi.org/10.1016/j.asr.2018.06.036
Hamimi, Z., Hagag, W., Kamh, S., El-Araby, A. 2020. Application of remote-sensing techniques in geological and structural mapping of Atalla Shear Zone and Environs, Central Eastern Desert, Egypt: Arabian Journal of Geosciences. v. 13(414). p. 1-27. https://doi.org/10.1007/s12517-020-05324-8
Hauff, P. 2008. An overview of VIS-NIR-SWIR field spectroscopy as applied precious metals exploration. Arvada, Colorado; Spectral Inc., 80001 303403 8383.
Kumar, C., Shetty, A., Raval, S., Sharma, R., Ray, P.K.C. 2015. Lithological Discrimination and Mapping using ASTER SWIR Data in the Udaipur area of Rajasthan, India: Procedia Earth and Planetary Sciences, v. 11, p. 180-188. https://doi.org/10.1016/j.proeps.2015.06.022
Pour, A.B., Hashim, M., Hong, J.K., Park, Y. 2019. Lithological and alteration mineral mapping in poorly exposed lithologies using Landsat-8 and ASTER satellite data: North-eastern Graham Land, Antarctic Peninsula: Ore Geology Reviews. v. 108, p. 112-133. https://doi.org/10.1016/j.oregeorev.2017.07.018
Masoumi, F., Eslamkish, T., Abkar A.A., Honarmand, M., Harris, J.R. 2017. Integration of spectral, thermal, and textural features of ASTER data using Random Forests classification for lithological mapping: Journal of African Earth Sciences, v. 129, p. 445-457. https://doi.org/10.1016/j.jafrearsci.2017.01.028
Munkhsuren, B., Odgerel, D., Oyunchimeg, T. 2019. Lithological mapping of Ikh Tsakhir area using remote sensing techniques: Compilation of works of young scientists and researchers in the field of geology and geography-2019, Khurel Togoot. p. 149-153.
Ninomiya, Y. 2002. Mapping quartz, carbonate minerals, and mafic ultramafic rocks using remotely sensed multispectral thermal infrared ASTER data: Proceedings of SPIE - The International Society for Optical Engineering. p. 191-202. https://doi.org/10.1117/12.459566
Ourhzif, Z., Algouti, A., Algouti, A., Hadach, F. 2019. Lithological mapping using Landsat 8 oli and ASTER multispectral data in Imini-Ounilla District south High Atlas of Marrakech: The international archives of the Photogrammetry, Remote sensing and Spatial Information Sciences. XLII-2/W13, p. 1255-1262. https://doi.org/10.5194/isprs-archives-XLII-2-W13-1255-2019
Platt, J. 1998. Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines. Advances in Kernel Methods-Support Vector Learning. 208.
Rezaei, A., Hassani, H., Moarefvand, P., Golmohammadi, A. 2019. Lithological mapping in Sangan region in Northeast Iran using ASTER satellite data and image processing methods: Geology, Ecology, and Landscapes, v. 4(1), p. 59-70. https://doi.org/10.1080/24749508.2019.1585657
Rowan, L.C., Mars, J.C. 2003. Lithologic mapping in the Mountain Pass, California area using advanced spaceborne thermal emission and reflection radiometer (ASTER) data: Remote Sensing of Environment, v. 84(3), p. 350-366. https://doi.org/10.1016/S0034-4257(02)00127-X
Sabins, F. 1987. Remote sensing: Principles and interpretation (2nd ed.). New York, NY: Freeman. https://doi.org/10.1080/10106048709354087
Son, Y.S., Kang, M., Yoon, W. 2012. Regional mapping of alteration of the Oyu Tolgoi Cu-Au deposit in Mongolia using band math method with ASTER image: Korean Society for Geosystem Engineering, v. 49, p. 157-165. (in Korean with English abstract)
Son, Y.S., Kim, K.E., Yoon, W.J., Cho, S.J. 2019. Regional mineral mapping of island arc terranes in southeastern Mongolia using multi-spectral remote sensing data: Ore Geology Reviews, v. 113, 103106. https://doi.org/10.1016/j.oregeorev.2019.103106
Son, Y.S., You, B.W., Bang, E.S., Cho, S.J., Kim, K.E., Baik, H., Nam, H.T. 2021. Mapping Alteration Mineralogy in Eastern Tsogttsetsii, Mongolia, Based on the WorldView-3 and Field Shortwave-Infrared Spectroscopy Analyses: Remote Sensing. v. 13, p. 914. https://doi.org/10.3390/rs13050914
Stolz, T.A. 2008. Geological Mapping of Orhon, Tariat, and Egiin Dawaa, Central Mongolia, through the Interpretation of Remote Sensing Data: Master’s thesis, Wright State University, Ohio.
Tomurtogoo, O. 2017. Tectonic subdivision of Mongolia at the scale of 1:3 000 000. Mineral Resource Authority of Mongolia.
Watts, D., Harris, N. 2005. Mapping granite and gneiss in domes along the North Himalaya antiform with ASTER SWIR band ratios: Geological Society of America Bulletin. v. 117(7-8), p. 879-886. https://doi.org/10.1130/B25592.1
Zhang, X., Li, P. 2014. Lithological mapping from hyperspectral data by improved use of spectral angle mapper: International Journal of Applied Earth Observation and Geo-information, v. 31, p. 95-109. https://doi.org/10.1016/j.jag.2014.03.007
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Copyright (c) 2021 Badrakh Munkhsuren, Batkhuyag Enkhdalai, Tserendash Narantsetseg, Khurelchuluun Udaanjargal, Demberel Orolmaa, Dolgorjav Munkhjin
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