MULTISPECTRAL SURVEY OF HYDROCARBONS NATURAL AND MAN-MADE ACCUMULATION AREAS USING AN UNMANNED AERIAL VEHICLE

Abstract

The research area is located on the site of a gas and oil field in the upper reaches of the Yasyl River. Due
to the spread of karst processes in the studied area, natural and man-made accumulations of hydrocarbons are formed.
There is ongoing work done to identify oilfield technogenesis by remote sensing methods. Based on the data of a gasgeochemical survey, maps of the distribution of subhumus horizon gases (methane, carbon dioxide, volatile organic compounds, and C1-C5 hydrocarbon gases) were constructed. The most common are gas-geochemical anomalies associated with hydrocarbon gases. All anomalies, especially those related to hydrocarbon gases, indicate the accumulation of hydrocarbons related to the oil and gas industry. Based on them, multispectral unmanned aerial photography of areas of
natural and man-made accumulation was carried out. Six types of gas-geochemical anomalies with maximum gas concentrations and their spatial distribution have been identified. According to the multispectral unmanned aerial photography data, orthophotoplans of vegetation indices (NDVI, GNDVI, LCI, NDRE) were built in the DJI Terra program. A
remote assessment of the relationship between the vegetation of forest and meadow ecosystems and the concentrations of
gases in the subhumus horizon was performed. The relationship between vegetation indices and the concentration of gases
in the subhumus layer is nonlinear and is determined by a complex of biogeochemical processes occurring in terrestrial
and underground biogeocenoses of the karst massif. Gas-geochemical anomalies with high concentrations of hydrocarbon
gases and light organic compounds are most clearly manifested in the values of the indices obtained using the Red Edge
channel. All types of gas-geochemical anomalies in forest ecosystems are characterized by an increase in the values of
vegetation indices. For meadow communities, a decrease in the values of vegetation indices was revealed when comparing
background and abnormal gas values.