Mathematical methods of aerospace monitoring, assessment of their demand in the study of natural resources: part two – hydrocarbon deposits
DOI:
https://doi.org/10.36023/ujrs.2026.13.1.292Keywords:
aerospace geomonitoring, systems analysis methods, optical and geophysical anomalies, geofluid dynamic and neotectonic processes, morphometric studies, structural interpretation, photometryAbstract
The article addresses a current issue: the justification for applying certain proposed mathematical methods to the processing of remote and ground-based spectrometric data on plants and soils. These methods, previously tested in various oil and gas exploration tasks, are considered alongside established direct approaches (geophysical, geochemical, biological, etc.) under diverse geological and landscape conditions. Based on a systematic approach, several mathematical techniques for aerospace geomonitoring of natural resources, including hydrocarbons, have been developed or adapted.
For over thirty years, researchers at Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine have tested dozens of well-known and proprietary techniques for processing plant and soil spectrometry data collected through remote sensing and ground-based research. These include factor analysis, spectral contrast methods, analytical networks, structural and texture analysis, interdisciplinary integration of aerospace and ground-based data, and a systematic approach. Additionally, heuristic criteria and decision-making methods have been applied for detailed assessments of the oil and gas potential of specific onshore areas.
Based on expert evaluations and the hierarchy analysis method described in Part 1, the most effective methods were identified. These include: a statistical method for detecting landscape optical anomalies associated with hydrocarbon deposits using aerospace imagery, the spectral contrast method, the spectral autocorrelation method, and a multicriteria optimization method.
These techniques are detailed in this article, with examples of their application in hydrocarbon exploration and the results of their evaluation in various geological and landscape settings.
Authors contribution: Conceptualization – O. I. Arkhipov, O. D. Fedorovsky; methodology – O. I. Arkhipov, O. D. Fedorovsky, A. V. Khyzhnyak, formal analysis – O. I. Arkhipov, A. V. Khyzhnyak, systematization, visualization – O. I. Arkhipov, A. V. Khyzhnyak, preparation of the text of the article: author's manuscript – O. I. Arkhipov, A. V. Khyzhnyak, review and editing – O. I. Arkhipov, A. V. Khyzhnyak, A. D. Bondarenko, visualization – A. D. Bondarenko. All authors have read and agreed to the published version of the manuscript.
Funding: This research was carried out within the framework of the research project “Development and improvement of methods and technologies of geospatial modeling to solve thematic problems of remote sensing”, registration number 0123U100684.
Data Availability Statement: Data available on reasonable request from the authors.
Acknowledgements: The authors are grateful to the National Academy of Sciences of Ukraine for supporting this research. We are also grateful to the reviewers and editors for their valuable comments, recommendations, and attention to the work.
Conflicts of Interest: The authors declare no conflict of interest
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