Satellite Imagery Application for Searching Buried Intrusive Structures




thermal satellite imagery, thermal anomaly, structural interpretation, unmanned aerial vehicle, buried intrusions, diamond content


Introduction. At the current stage of information technology development, methods for remote sensing have been increasingly used for mineral exploration.
Problem Statement. Significant capital intensity of geological works for intrusive bodies search when the crystalline basement is overlapped by a thin sedimentary cover requires the implementation of advanced methods that, on the one hand, allow reducing the costs of exploration and, on the other hand, enable increasing the
accuracy of objects identification.
Purpose. The development of methodological framework for the application of remote sensing data to identify prospective areas in search of buried intrusive bodies.
Materials and Methods. Medium (Landsat, Sentinel) and high (WorldView) resolution optical satellite imagery data in the thermal infrared and visible ranges of the electromagnetic radiation spectrum; radar satellite data (SRTM), multispectral aerial survey data obtained by unmanned aerial vehicles; methods for structural
interpretation, digital terrain model analysis, results of field thermometry have been used in this research.
Results. A few prospective sites for the search for buried intrusions within the Hubkivska and AnastasivskoBolyarska squares of the Novohrad-Volynskyi block of the Ukrainian Shield, regardless of the geophysical data, have been identified. These objects were later confirmed by detailed geomagnetic surveying and drilling. Within
the detected thermal anomalies, several small (60—120 m long and 30—50 m wide) dikes have been detected. Four of the 5 wells drilled have confirmed the presence of dike bodies, and 1 well enters the fracture zone. In other areas, where detailed geophysical survey was carried out within the detected thermal anomalies, new dike bodies
have been discovered.
Conclusions. The developed technique may be used as an additional tool in geological prospecting.


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Lyalko, V. I., Mytnik, M. M., Shportiuk, Z. M., Vulfson, L. D. (1979). Geothermal exploration of minerals. Kyiv: Naukova Dumka [in Russian].

Lyalko, V. I., Mytnik, M. M., Vulfson, L. D. (1983). Remote geothermal exploration of minerals. In Kropotkin P. N., & Smirnov Ya. B. (Eds.), Methodic and experimental basis of geothermy (pp. 195-204). Moscow: Science [in Russian].

Lyalko, V. I., Vulfson, L. D. (1988). Possibility of application of remote sensing survey in infrared range for detection of deep faults openness. Geological Journal, 3, 71-75 [in Russian].

Lyalko, V. I., Mytnik, M. M., Vulfson, L. D. (1993). Application of remote sensing survey in thermal infrared and microwave range for geological and natural resources problems solving. Reports of international scientific seminar on aerospace monitoring of land cover and atmosphere. Kyiv: Znanie, 19-35 [in Russian].

Vulfson, L. D. (2000). Features of the temperature formation and reflection coefficients of land covers in the thermal infrared and microwave ranges in relation to remote sensing for geological and environmental purposes (Ph. D. Candidate Thesis). NAS of Ukraine; Institute of Geological Sciences. Kyiv [in Russian].

Stankevich, S. A., Pylypchuk, V. V., Lubskyi, M. S., Krylova, H. B. (2016). Accuracy assessment of the temperature of artificial and natural earth's surfaces determining by infrared satellite imagery. Space science and technology, 4(101), 19-28 [in Ukrainian].

Young, S. S., Driggers, R. G., Jacobs, E. L. (2008). Signal Processing and Performance Analysis for Imaging Systems. Norwood: Artech House.

Shevchuk, R. (2018). Technique for Satellite Monitoring of Illegal Amber Mining Territories Based on Integrated Landsat and Sentinel Data Processing. Journal of the Georgian Geophysical Society, 21(1), 26-32.

Reed, I., Yu, X. (1990). Adaptive Multiple-Band CFAR Detection of an Optical Pattern with Unknown Spectral Distribution. IEEE Transactions on Acoustics, Speech and Signal Processing, 38, 1760-1770.

Chang, C. I., Chiang, S. S. (2002). Anomaly Detection and Classification for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, 40(6), 1314-1325.

Mychak, A. (Ed.) (2010). Aerospace research of geological environment. Kyiv [in Ukrainian].

Lastochkin, A. N. (1991). Morphodinamics conception of general geomorphology. Leningrad: Nedra




How to Cite

Filipovych, V., Shevchuk, R., & Mychak А. (2022). Satellite Imagery Application for Searching Buried Intrusive Structures. Science and Innovation, 18(2), 59–65.



Scientific and Technical Innovation Projects of the National Academy of Sciences