ISSN 0016-7126 (Print)
ISSN 2587-8492 (Online)
Abstract:
The authors present the results of satellite images texture analysis for geological mapping in the Arctic Zone of the Russian Federation, where field surveys are complicated by challenging logistics and harsh climate conditions. We examined approaches to interpretation of satellite data based on geological spectral indices and morphometric terrain parameters. Special attention is paid to advanced texture analysis methods, particularly the Gray Level Co-Occurrence Matrix (GLCM), which enabled identifying structural anomalies caused by tectonic disturbances and mineralogical properties. As a case study, the Pavlovskoye lead-and-zinc deposit (Novaya Zemlya isles, RF) was analyzed using Sentinel-2 data. Seven GLCM features were calculated, their spatial distribution was examined, and principal component analysis was performed, allowing for detection of tectonic structures. The research showed the potential of texture analysis for geological mapping and identifying promising mineralization zones in the remote and hard-to-access regions of the Arctic
This work was funded by the Russian Science Foundation (project No. 21-77-30010-P)
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Citation:
| (2025) Geological mapping based on texture analysis of gray level co-occurrence matrices from satellite images. Geodesy and cartography = Geodeziya i Kartografiya, 86(12), pp. 38-45. (In Russian). DOI: 10.22389/0016-7126-2025-1026-12-38-45 |