A model of the geological structure was constructed and the oil and gas potential prospects of the Yenisei-Khatanga regional trough were assessed. Construction of seismogeological sections, structural and tectonic maps, structural and tectonic analysis was carried out. It was concluded that the Neocomian clinoform complex, which contains about 90 % of oil, gas and condensate reserves in this region, is of the greatest interest in the study area in terms of searching for large oil accumulations. It should be expected that significant oil reservoirs localized in the Berriasian–Valanginian sand formations will be controlled by complex structural-lithological and lithological non-anticlinal traps.

Data on the geological structure of the Malyshevka Formation in the northeastern regions of Western Siberia in the Gydan and western parts of the Yenisei–Khatanga oil and gas regions are presented. Based on the results of dissection of the Middle Jurassic deposits, three main types of section of the Malyshevka Formation were identified. Zoning of the suite by section type is proposed. Based on a comprehensive analysis of the wave pattern of the Jurassic section on a series of temporal seismic profiles, well geophysical data, and faunal determinations, a detailed correlation of Middle Jurassic sediments was performed. Based on the results of the work, a seismogeological model of the Malyshevka Formation of the northeastern regions of Western Siberia was built, which made it possible to resolve controversial issues regarding its volumes in the southern part of the Gydan Peninsula.

Effective management of urban forests requires an integrated approach, starting with a complete inventory of their biodiversity. At the moment, data on the floristic composition of urban forests in Siberian cities is either limited or fragmentary. The purpose of this study is to classify urban forests by species and determine their ontogenetic state using remote sensing materials. This study aims to deeply analyze the structure of urban forests using remote sensing data, in particular the use of unmanned aerial vehicles.

The review article provides a comprehensive overview of modern methods and approaches for processing large volumes of observational data in the context of monitoring forest ecosystems. The article shows examples of processing various data obtained using Earth remote sensing (ERS) and unmanned aerial vehicles (UAVs). Particular attention is paid to assessing the carbon cycle; the practice of using machine learning methods in processing monitoring data is also discussed in detail, as they play a key role in increasing the accuracy of the resulting estimates. The article also discusses modern geographic information systems designed for complex analysis of data from various natural complexes.

Based on the results of numerical modeling, the effect of vertical drilling-induced fractures on the data of galvanic electrical logging methods is considered. Geoelectric models represent a space with different resistivity values, a well and axisymmetric fractures filled with drilling fluid. The effect of fractures limited in radial depth on galvanic logging data leads to a change in signals similar to the change opposite the formation with a penetration zone located within the fracture interval. Based on the on gradient probes and focused logging data, a model of both a formation with an invaded zone and an impermeable formation with a vertical resistivity less than the horizontal one is selected. Thin vertical fractures do not affect the signals of induction probes, which may be a sign of their presence.

The Siberian ring source of photons (SKIF) is a new fourth-generation synchrotron light source currently under construction in Koltsovo city, Russia. The beam stability of modern synchrotron sources, characterized by low emittance, is sensitive to insignificant levels of ground vibrations. We assessed the seismic noise variation from external sources recorded at the construction site of the SKIF. For the frequency range 1–20 Hz, the transmission coefficients for the vertical and horizontal recording components were 0.38 and 0.725, respectively. In the frequency range 20–100 Hz – 0.12 and 0.06, respectively. Analysis of experimental data shows the effectiveness of suppressing high-amplitude external noise in the frequency range of 2-100 Hz when transmitting vibrations from the ground to the SKIF storage ring basement. The coefficients determined for the basement match well with the design model.