№3 (2023) УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2023-3-63-70 Baglaeva E.M., Sergeev A.P., Shichkin A.V., Buevich A.G., Butorova A.S. Key words: representativeness of points, sampling, heavy metals, artificial neural networks, choice of training subset Section: Geoecology

№3 (2022) УДК 504.064.37, 004.93.11, 633 https://doi.org/10.47148/1609-364X-2022-3-15-29 Vakulenko D.V., Kravets A.G. Key words: agricultural landscape, multispectral space image, informativity indicator of channel, spectral channel ranking, classification, geospatial recognition system, digital stratification plan. Section: Application of GIS technologies

№3 (2022) УДК 004.94 https://doi.org/10.47148/1609-364X-2022-3-39-46 Vagizov M.R., Shishkin M.L., Istomin E.P., Novikova M.A., Boytsov A.K. Key words: databases, geoinformation modeling, 3-d modeling, forest ecosystems, the birch is hanging, the poplar is trembling, the aspen. Section: Geoecology

№2 (2022) Sergeev A.P., Butorova A.S., Shichkin A.V., Buevich A.G., Baglaeva E.M., Subbotina I.E. УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2022-2-42-53 Key words: permutation method, randomization, predicted values, observed values, spatial distribution, predictive ability assessment, artificial neural networks Section: Modeling geo objects and geo-processes

№1 (2022) УДК 504.064.2.001.18https://doi.org/10.47148/1609-364X-2022-1-32-39 Butorova A.S., Sergeev A.P., Shichkin A.V., Buevich A.G., Baglaeva E.M.,Sergeeva M.V. Keywords: counter-prediction method, missing data recovering, artificial neural networks, snow cover, dust. Section: Modeling geo objects and geo-processes

№1 (2021) УДК: 004.67DOI: 10.47148/1609-364X-2021-1-22-29 M.R. Vagizov, E.P. Istomin, O.N. Kolbina, A.S. Kochnev, V.L. Mikheev, N.V. Yagotintseva Keywords: geoinformation system, synoptic forecast method, hydrodynamic forecast method, aggregator, data processor, knowledge base, deterministic method, expert estimation method, stochastic method, neural network, … Continue reading →

№4 (2020) УДК 911.6:711.55 DOI: 10.47148/1609-364X-2020-4-63-70 S.A. Dubrovskaya, R.V. Ryakhov Key words: urban planning, natural-ecological framework, functional types of land use, technological systems, type of landscape purpose, landscape, geomorphometric features, neural network algorithm. Section: Geoecology

DOI: 10.47148/1609-364X-2020-4 Software for GIS-processing of airborne lidar data  B.A. Novakovsky, A.V. Kudryavtsev, A.L. Entin … » The paper considers GIS software which may be utilized for airborne lidar data processing. Software list includes proprietary MicroStation with TerraScan plugin, Global Mapper, ArcGIS, ERDAS … Continue reading →

№2 (2018) Krivoguz D.O. Section: Application of GIS technologies Keywords: GIS, landslides, landslide susceptibility, spatial analysis, geoinformaics.

№4 (2019) Buevich A.G.,Sergeev A.P.,Rakhmatova A.Yu., Baglaeva E.M.,Shichkin A.V., Subbotina I.E.,Sergeeva M.V.,Markelov Yu.I. Section: Modeling geo objects and geo-processes Keywords: artificial neural networks, multilayer perceptron, modeling, sampling.