TY - JOUR

T1 - Detailed Geological Mapping of the Olon-Ovoot Gold Ore Cluster (Southern Mongolia) Based on the Interpretation of Satellite Images of Medium and High Spatial Resolution

AU - Zadorozhnyy, M. V.

AU - Zolnikov, I. D.

AU - Glushkova, N. V.

N1 - Funding Information: We thank Google Earth for the free high-resolution satellite images used in noncommercial scientific research presented in this article. We are grateful to PhD E.A. Naumov and N.N. Dobretsov for discussions and assistance. Publisher Copyright: © 2020, Pleiades Publishing, Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/12

Y1 - 2020/12

N2 - This article presents the results of an interpretation of the territory of the Olon-Ovoot ore cluster using medium and high spatial resolution satellite images. The interpretation is based on the Sentinel-2 image, which has been orthorectified and reduced to a common spatial resolution (10 m). Indices of iron hydroxide and iron silicate in Sentinel-2 images are used for selecting areas. The subpixel structure is analyzed using high spatial resolution satellite images from the Google Earth computer program in order to identify the areas of concentration of quartz-carbonate veins in Sentinel-2 images. The structural and morphological interpretation with lineament extraction has not required spectral domain analysis in high-resolution images. Remote sensing data interpretation have made it possible to significantly clarify the geological structure of the territory and improve from the mapping scale from 1 : 200 000 to 1 : 20 000 for key areas. The fusion of satellite images of different functional scales has led to an order of magnitude increase in mapped geological features (e.g., dikes). Detailed mapping of the territory makes it possible to come close to geo-information modeling of geological structural elements, i.e., leading indicators.

AB - This article presents the results of an interpretation of the territory of the Olon-Ovoot ore cluster using medium and high spatial resolution satellite images. The interpretation is based on the Sentinel-2 image, which has been orthorectified and reduced to a common spatial resolution (10 m). Indices of iron hydroxide and iron silicate in Sentinel-2 images are used for selecting areas. The subpixel structure is analyzed using high spatial resolution satellite images from the Google Earth computer program in order to identify the areas of concentration of quartz-carbonate veins in Sentinel-2 images. The structural and morphological interpretation with lineament extraction has not required spectral domain analysis in high-resolution images. Remote sensing data interpretation have made it possible to significantly clarify the geological structure of the territory and improve from the mapping scale from 1 : 200 000 to 1 : 20 000 for key areas. The fusion of satellite images of different functional scales has led to an order of magnitude increase in mapped geological features (e.g., dikes). Detailed mapping of the territory makes it possible to come close to geo-information modeling of geological structural elements, i.e., leading indicators.

KW - geological mapping

KW - GIS

KW - high and medium-spatial resolution images

KW - remote sensing

UR - http://www.scopus.com/inward/record.url?scp=85101722017&partnerID=8YFLogxK

U2 - 10.1134/S0001433820090261

DO - 10.1134/S0001433820090261

M3 - Article

AN - SCOPUS:85101722017

VL - 56

SP - 1136

EP - 1145

JO - Izvestiya - Atmospheric and Oceanic Physics

JF - Izvestiya - Atmospheric and Oceanic Physics

SN - 0001-4338

IS - 9

ER -