Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. - Valeriy Shevchenko; Daria Taniushkina; Aleksandr Lukashevich; Aleksander Bulkin; Roland Grinis; Kirill Kovalev; Veronika Narozhnaia; Nazar Sotiriadi; Alexander Krenke; Yury Maximov (CoRR, 2023)

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. - Svetlana Illarionova; Dmitrii Shadrin; Islomjon Shukhratov; Ksenia Evteeva; Georgii Popandopulo; Nazar Sotiriadi; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2023)

Flood Extent and Volume Estimation Using Remote Sensing Data. - Georgii Popandopulo; Svetlana Illarionova; Dmitrii Shadrin; Ksenia Evteeva; Nazar Sotiriadi; Evgeny Burnaev (Remote. Sens., 2023)

From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. - Danil Kononykhin; Mikhail Mozikov; Kirill Mishtal; Pavel Kuznetsov; Dmitrii Abramov; Nazar Sotiriadi; Yury Maximov; Andrey V. Savchenko; Ilya Makarov (SIGSPATIAL/GIS, 2024)

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. - Valeriy Shevchenko; Aleksandr Lukashevich; Daria Taniushkina; Alexander Bulkin; Roland Grinis; Kirill Kovalev; Veronika Narozhnaia; Nazar Sotiriadi; Alexander Krenke; Yury Maximov (IEEE Access, 2024)

Long-term drought prediction using deep neural networks based on geospatial weather data. - Alexander Marusov; Vsevolod Grabar; Yury Maximov; Nazar Sotiriadi; Alexander Bulkin; Alexey Zaytsev 002 (Environ. Model. Softw., 2024)

A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. - Polina Pilyugina; Timofey Chernikov; Maria Smirnova; Alexey Zaytsev 002; Alexander Bulkin; Evgeny Burnaev; Ilya S. Belalov; Nazar Sotiriadi; Albert Efimov; Yury Maximov; Oleg Anisimov (IEEE Access, 2025)