№3 (2023)

DOI:10.47148/1609-364X-2023-3 Information and analytical support for oil and gas exploration based on locally produced software and technologyCheremisina E.N., Chesalov L.E., Lyubimova A.V., Markov K.N., Finkelstein M.Ya., Spiridonov V.A., Sukhanov M.G. Information model of a geoinformation system for studying the geometry of rock massif based on seismic … Continue reading

Application of the permutation method to the assessment of predictive ability of the models of spatial distribution of copper and iron concentrations in the topsoil

№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

Software for GIS-processing of airborne lidar data

№4 (2020) УДК 004.42:528.8 DOI: 10.47148/1609-364X-2020-4-2-11 B.A. Novakovsky, A.V. Kudryavtsev, A.L. Entin Key words: airborne laser scanning, software, geoinformation mapping, computational efficiency. Section: Geoinformation systems

№4 (2020)

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