№3 (2022) УДК 004.94::[550.831.017:550.8.056] https://doi.org/10.47148/1609-364X-2022-3-30-38 Shirokova T.P., Spiridonov I.V., Mitsyn S.V. Key words: inverse problem of magnetic prospecting, assembly method, Guli massif Section: Modeling geo objects and geo-processes

№3 (2021) УДК 004.94::[550.831.017:550.8.056] DOI: 10.47148/1609-364X-2021-3-36-47 S.V. Mitsyn, E.M. Bolshakov Key words: inverse gravimetric problem, assembly method, density models. Section: Modeling geo objects and geo-processes

№2 (2021) УДК: 550.83.017DOI: 10.47148/1609-364X-2021-2-47-52 N. N. Pimanova, V. A. Spiridonov Key words:3D density model, 3D modeling, inverse problem of gravimetry, GIS INTEGRO. Section: Modeling geo objects and geo-processes

№3 (2018) Mitsyn S.V. Section: GIS INTEGRO algorithms and software Keywords: inverse gravimetric problem, filtration, discrete fourier transform.

№3 (2023) УДК 550.8.053, 528.946, 004.05 https://doi.org/10.47148/1609-364X-2023-3-4-23 Cheremisina E.N., Chesalov L.E., Lyubimova A.V., Markov K.N., Finkelstein M.Ya., Spiridonov V.A., Sukhanov M.G. Key words: systematization, storage, cartography, geoinformation project, three-dimensional modeling, classification Section: Geoinformation systems

№1 (2023) Bolshakov E.M., Biserkin I.A., Kupriyanov I.S., Pimanova N.N., Sokolova E.Yu., Spiridonov V.A., Finkelstein M.Ya. УДК 528.8.04:001.51 https://doi.org/10.47148/1609-364X-2023-1-31-42 Key words: integrated analysis of geophysical data, inverse problem, models of the deep structure of oil and gas regions, Yenisei-Khatanga regional … Continue reading →

№4 (2022) Bolshakov E.M., Biserkin I.A., Kupriyanov I.S., Pimanova N.N., Sokolova E.Yu., Spiridonov V.A., Finkelstein M.Ya. УДК 528.8.04:001.51 https://doi.org/10.47148/1609-364X-2022-4-63-74 Key words: integrated analysis of geophysical data, inverse problem, models of the deep structure of oil and gas regions, Yenisei-Khatanga regional … Continue reading →

DOI:10.47148/1609-364X-2022-3 Application of geoinformation mapping methods for urbanized territories using remote sensing dataArtemeva O.V., Pozdnjakova N.A., Gnevashev F.A. Spectral classification of space agricultural landscape images using ranking of channels according to the highest informativityVakulenko D.V., Kravets A.G. Assembly method in GIS INTEGRO and … Continue reading →

DOI:10.47148/1609-364X-2021-3 Development of a smart geoinformation system module for forest taxing data processing M.R. Vagizov, E.P. Istomin, N.V. Yagotintseva, O.N. Kolbina, A.E. Morshihina,K.V. Konzhgoladze State geological mapping and domestic geographic information systems. Why import substitution is stalled in geologyV.A. Spiridonov, M.Ya. Finkel’shtein The principles of compiling … Continue reading →

DOI:10.47148/1609-364X-2021-2 Geoinformational criteria for distinguishing the quasi-linear chains of earthquake migration in epicentral fields of complex geometry and variable density of shocks distribution A.A. Kakourova, A.V. Klyuchevskii, V.M. Dem’yanovich, A.A. Klyuchevskaya Digital simulation trial of hydroisostasy by finite element methodR.F. Bulgakov … Continue reading →