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  1. Shinkarenko S.S., Bartalev S.A. Long-term arid pasture landscapes NDVI dynamics in European Russia and adjacent territories // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 6. P. 108-123. DOI: 10.21046/2070-7401-2022-19-6-108-123.
  2. Shinkarenko S.S., Bartalev S.A. Satellite observations of dust storms in southern Russia in 2022 // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 6. P. 293-300. DOI: 10.21046/2070-7401-2022-19-6-293-300.
  3. Troshko K.A., Denisov P.V., Dunaeva E.A., Loupian E.A., Plotnikov D.E., Tolpin V.A. Features of grain crops development in Russia in 2022 based on remote sensing data // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 6. P. 301-307. DOI: 10.21046/2070-7401-2022-19-6-301-307.
  4. Denisov P.V., Troshko K.A., Полецкая А.Ю., Gogacheva N.A., Lennik A.V., Антошкин А.А., Kashnitskii A.V., Kobets D.A., Plotnikov D.E., Proshin A.A., Tolpin V.A. The first results of 2021 agricultural micro-census data control using satellite monitoring tools // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 6. P. 308-314. DOI: 10.21046/2070-7401-2022-19-6-308-314.
  5. Lavrova O. Yu., Loupian E.A., Bartalev S.A., Kobets D.A. Results of the 20 th International Conference “Current Problems in Remote Sensing of the Earth from Space // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 6. P. 315-320. DOI: 10.21046/2070-7401-2022-19-6-315-320.
  6. Kuzmina Z.V., Shinkarenko S.S., Solodovnikov D.A., Markov M.L. The Effects of River Control and Climatic and Hydrological Changes on the State of Floodplain and Delta Ecosystems of the Lower Don // Arid Ecosystems. 2022. Vol. 12. No. 4. P. 361–373. DOI: 10.1134/S2079096122040126.
  7. Vedeshin L.A., Shapovalov D.A. The First Scientific and Technical Experiments in Space Earth Sciences (On the 60th Anniversary of Satellite Images of the Earth from Manned Spacecraft) // Izvestiya, Atmospheric and Oceanic Physics. 2022. Vol. 58. No. 12. P. 1689–1692. DOI: 10.1134/S0001433822120258.
  8. Khvostikov S.A., Bartalev S.A. Using remote sensing data assimilation into wildfire model to evaluate fire front position // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 5. P. 9-18. DOI: 10.21046/2070-7401-2022-19-5-9-18.
  9. Kashnitskii A.V., Burtsev M.A., Proshin A.A. Technology to create cloud-free composites from Sentinel-2 satellite data // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 5. P. 76-85. DOI: 10.21046/2070-7401-2022-19-5-76-85.
  10. Zlatopolsky A.A., Shekman E.A. Ordinal statistics of the valleys found by the digital terrain model: Scale factor and Horton’s equations // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 5. P. 113-122. DOI: 10.21046/2070-7401-2022-19-5-113-122.
  11. Shinkarenko S.S., Bartalev S.A., Berdengalieva A.N., Doroshenko V.V. Satellite monitoring of desertification processes in the south of European Russia in 2019–202 // Actual Problems of Remote Sensing of the Earth from Space. 2022. Vol. 19. No. 5. P. 319-327. DOI: 10.21046/2070-7401-2022-19-5-319-327.
  12. Vypritskii A.A., Shinkarenko S.S. Analysis of soil and climatic factors influence on the protective forest condition based on Sentinel-2 data // Actual Problems of Remote Sensing of the Earth from Space. 2022. V. 19. No 5. P. 147-163. DOI: 10.21046/2070-7401-2022-19-5-147-163.
  13. Loupian E.A., Burtsev M.A., Proshin A.A., Kashnitskii A.V., Balashov I.V., Bartalev S.A., Konstantinova A.M., Kobets D.A., Radchenko M.V., Tolpin V.A., Uvarov I.A. Usage Experience and Capabilities of the VEGA-Science System // Remote Sensing. 2022. Vol. 14. DOI: 10.3390/rs14010077.
  14. Girina O.A., Manevich A.G., Melnikov D.V., Nuzhdaev A.A., Romanova I.M., Loupian E.A., Sorokin A.A. The 2021 Activity of Kamchatkan Volcanoes and Danger to Aviation // EGU General Assembly, 2022.
  15. Li X., Shabanov N.V., Chen L., Zhang Y., Huang H. Modeling solar-induced fluorescence of forest with heterogeneous distribution of damaged foliage by extending the stochastic radiative transfer theory // Remote Sensing of Environment. 2022. Vol. 271. 112892. DOI: doi.org/10.1016/j.rse.2022.112892.
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