№4 (2024) Trofimov Yu.V., Averkin A.N., Cheremisina E.N. УДК 0048 https://doi.org/10.47148/1609-364X-2024-4-93-118 Key words: sustainable development; explainable artificial intelligence (XAI); ecological zoning; geographic information systems (GIS); neuro-fuzzy models; disease prevention; environmental risks; decision support systems; healthcare Section: Artifical intelligence in applied … Continue reading →
№4 (2024) Сheremisina E.N., Kirpicheva E.Y., Tokareva N.A., Milovidova A.A. УДК 004.8, 303.732, 550.8.01https://doi.org/10.47148/1609-364X-2024-4-83-92 Key words: artificial Intelligence; multidisciplinary research; explainable artificial intelligence; machine learning; neural networks; systematic approach Section: Artifical intelligence in applied fields of knowledge
№4 (2024) Libina N.V., Krylov A.A., Rukavishnikova D.D., Kovachev S.A., Baranov B.V. УДК 551.4.08, 550.83.016, 550.343.4 https://doi.org/10.47148/1609-364X-2024-4-70-82 Key words: lineament analysis; shadow analysis; relief curvature; Laptev Sea; seismic hazard assessment; model of earthquake source zones; seismic lineaments. Section: Modeling geo … Continue reading →
№4 (2024) Nafikova E.V., Shaniyazova A.F., Aleksandrov D.V., Khuzhina R.R. УДК 553.982.2 https://doi.org/10.47148/1609-364X-2024-4-57-69 Key words: geoecological assessment; oil spill; petroleum products; statistical analysis; emergency situations; spill causes; prevention measures; impact on ecosystems; administrative regions; soil cover; landscape cover Section: Geoecology
№4 (2024) Mychina K.V., Shchavelev A.N., Ryakhov R.V. УДК 528.854.2 https://doi.org/10.47148/1609-364X-2024-4-39-47 Key words: environment-forming parameters; carbon dioxide; methane, dynamics; Volga-Ural steppe region; natural-technogenic geosystem; satellite data Section: Geoecology
№4 (2024) Zhebsain V.V., Gololobov A.Yu., Basharin N.U., Poselsky A.F. УДК 528.854.2https://doi.org/10.47148/1609-364X-2024-4-39-47 Key words: neural network; thermokarst; modelling; satellite data; aerospace sensing. Section: Modeling geo objects and geo-processes
№4 (2024) Polishchuk Yu.M., Sokol E.S., Togachev A.A., Polishchuk V.Yu., Kupriyanov M.A., Melnikov A.V. УДК 551.34:551.58 https://doi.org/10.47148/1609-364X-2024-4-29-38 Key words: machine learning; geoinformation system; randomized modeling; forecasting; information technology; thermokarst lake dynamics; climate change Section: Application of GIS technologies
№4 (2024) Krechetnikov V.V., Titov I.E., Krechetnikova E.O., Kuznetsov V.K. УДК 528.952:631.95 https://doi.org/10.47148/1609-364X-2024-4-21-28 Key words: radioactive contamination, agrolandscapes, radionuclides, accumulation of radionuclides, attribute data base, GIS, information and calculation complex, calculation and analytical modules. Section: Application of GIS technologies
№4 (2024) Plotnikova A.S., Khamedov V.A., Arkhiptseva E.A., Podolskaia E.S., Narykova A.N., Alekseev A.B. УДК 551.4.08, 550.83.016, 550.343.4https://doi.org/10.47148/1609-364X-2024-4-4-20 Key words: geoservice; interactive maps; open source software; Leaflet; OpenLayers; OpenStreetMap; Mapbox; Google Earth Engine; API Yandex.Map; the system of state environmental … Continue reading →
An overview of Russian geographic information services on environmental issues based on open source softwarePlotnikova A.S., Khamedov V.A., Arkhiptseva E.A., Podolskaia E.S., Narykova A.N., Alekseev A.B. Development of an information and calculation complex for assessing the radioecological situation on radioactively contaminated agricultural landKrechetnikov V.V., Titov I.E., Krechetnikova … Continue reading →
