System for forecasting the lake dynamics in Russian Arctic using satellite images based on NextGIS Web

№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

Using the method of image decomposition based on topological features for processing satellite images

№ 4 (2023) УДК 004.9 https://doi.org/10.47148/1609-364X-2023-4-74-80 Eremeev S.V., Abakumov A.V., Krainov S.A., Kozlov A.S. Key words: image decomposition, satellite imagery, topological data analysis, segmentation, binarization

Features of the methodology for studying the dynamics of tidal rivers deltas in the northern regions using satellite images (the Northern Dvina as example)

№1 (2022) УДК 556.54:528.8 https://doi.org/10.47148/1609-364X-2022-1-17-31 Kravtsova V.I., Vaсhnina O.V., Lebedeva S.V., Charkovets E.G., Chalova E.R. Key words: delta, dynamics, accumulation, erosion, tidal level fluctuations Section: Application of GIS technologies

Ecosystems of modern Huanghe River delta at various stages of its forming: investigation by satellite images.

№4 (2016) Kravtsova V.I.,Chalova E.R. Section: Geoecology Keywords: delta, age, dynamics, environmental management, conflicts.

Dynamics of Danube river delta in XXI century: study by satellite images.

№2 (2018) Kravtsova V.I., Inushin A.N. Section: Geoecology Keywords: delta, satellite images, dynamics, accumulation, erosion, nature, anthropogenic geosystems.

Identification of lineaments in the Laptev Sea region by geomorphometric methods: application to seismic hazard assessment

№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 →

Dynamics analysis of some environmental variables in natural and technogenic geosystems of the steppe Urals based on satellite data

№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

Features of the use of neural network technology for recognizing graphic images of thermokarst objects

№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)

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 →

Recognition of Arable Lands Based on Remote Sensing Data (on the Example of the Jewish Autonomous Oblast)

№2 (2024) Polyakov A.N., Stepanov A.S. УДК 528.8-004.855.5 https://doi.org/10.47148/1609-364X-2024-2-25-35 Keywords: mapping; classification; arable lands; land cover; satellite monitoring Section: Application of GIS technologies

Geoinformatika

Journal of geoinformation technologies in geology and geoecology

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