№1 (2017) Parshin A.V., Auziņa L.I.,Prosekin S.N., Blinov A.V.,Kosterev A.N., Lonshakov Gr.S.,Usmanova A.M., Shestakov S.A.,Davydenko Yu.A. Section: Geoinformation systems Keywords: GIS, perspective estimation, exploratory drilling, groundwater, geoprocessing, integral index.
№3 (2023) УДК 505.53 https://doi.org/10.47148/1609-364X-2023-3-44-54 Berdengalieva A.N. Key words: intrazonal landscapes, GIS technologies, remote sensing, types of land cover, Volga-Akhtuba floodplain, Volga delta Section: Application of GIS technologies
№1 (2023) Goryachev I.N. УДК 553.411 https://doi.org/10.47148/1609-364X-2023-1-4-17 Key words: mineral prospectivity mapping, machine learning, random forest, gold, metallogenic zoning, Kolyma, North-East Russia Section: Conference proceedings ITES-2022
№3 (2021) УДК: 528.8, 551.34DOI: 10.47148/1609-364X-2021-3-21-29 A.A. Shestakova, Y.I. Torgovkin Key words: Geocryological Map, permafrost landscape, soil temperature, depth of the active layer, cryogenic processes, talik, bridge crossing. Section: Application of GIS technologies
№1 (2021) УДК 624.131.6:911.5/.9(571.16) DOI: 10.47148/1609-364X-2021-1-11-21 K.I. Kuzevanov, E.Yu. Pasechnik, L.N. Chilinger Keywords: GIS technology; occurrence depth; Unified state register of real estate; flood zone; engineering survey; restrictions The groundwater; zoning of the territory; accuracy of determination of coordinates; business … Continue reading →
DOI: 10.47148/1609-364X-2021-1 The nearest prospects of the geoinformation complex INTEGRO development Ye.N. Cheremisina, M.Ya. Finkelstein, K.V. Deyev, A.V. Muradyan … » The article describes the main directions of development of the INTEGRA geoinformation complex, as well as geological, geophysical and information problems, for the solution … Continue reading →
Borehole information proces-sing in the GIS INTEGRO.Drovninov D.A. … » The article deals with the processing system of borehole information in the GIS INTEGRO. The following is the description of the structure of the storage wells. Describes the ability to … Continue reading →
№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.