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All issues Volume 223 (2020) E3S Web Conf., 223 (2020) 01002 References
Open Access
Issue
E3S Web Conf.
Volume 223, 2020
Regional Problems of Earth Remote Sensing (RPERS 2020)
Article Number 01002
Number of page(s) 7
Section Modern and Perspective Systems of Regional Remote Sensing
DOI https://doi.org/10.1051/e3sconf/202022301002
Published online 21 December 2020
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  2. Features of the organization of control and management of distributed remote monitoring systems / I.V. Balashov, V.Yu. Efremov, A.A. Mazurov, Jr., A.S. Mamaev, A.M. Matveev, A.A. Proshin // Modern problems of remote sensing of the Earth from Space. 2011. Vol. 8, No. 3. pp. 161-166. [Google Scholar]
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  8. Gavrilyuk, E.A. Mapping of terrestrial ecosystems of the Pechora-Ilychsky nature reserve and its environs based on the reconstructed multi-temporal Landsat satellite data / E.A. Gavrilyuk, A.S. Plotnikova, D.E. Plotnikov // Regional problems of Earth remote sensing. 2018. P. 87-91. [Google Scholar]
  9. Giniyatullina, O.L. Experience of using Earth remote sensing in the tasks of geoecological monitoring of a coal-mining area / O.L. Giniyatullina, E.L. Schastlivtsev, V.A. Kovalev // Regional problems of Earth remote sensing. 2018. P. 283-287. [Google Scholar]
  10. Ma L., Fu T., Li M. Active learning for object-based image classification using predefined training objects // IJRS. 2018. Vol. 39, is. 9. P. 2746-2765. [Google Scholar]
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  12. Rylov, S.A. Using active learning to highlight water bodies in satellite images / S.A. Rylov // Regional problems of Earth remote sensing. 2020. p. 122-126. [Google Scholar]
  13. Using the satellite monitoring service "VEGA-SCIENCE" to assess the state of agricultural crops / S.A. Linkov, A.V. Akinchin, I.S. Donchenko, A.A. Popov // Novosti nauki v APK, 2018. No. 2(11). P. 16-20. [Google Scholar]
  14. The Intelligent Managerial Decision Support System for Agricultural Land Evaluation Maglinets, Yury; Raevich, Ksenia; Tsibulsky, Gennady // E3S Web of Conf. 75, 03005 (2019). [Google Scholar]
  15. Raevich K.V. Approaches to Representation of Knowledge of Operations on Spatial Data in Monitoring Applications / K.V. Raevich, Yu.A. Maglinets, R.V. Brezhnev // CEUR Workshop Proceedings.–2020.–Vol. 2534.–p. 172-177. [Google Scholar]
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  17. The Scheme of Setting and Solving of Spatial Objects Monitoring Tasks / Y. Maglinets, R. Brezhnev, K. Raevich, A. Pyataeva, G. Tsybulsky // IEEE, 2020 International Conference on Information Technology and Nanotechnology (ITNT), Samara, Russia, 2020, p. 1-5. [Google Scholar]
  18. Brezhnev, R.V. An Interactive Environment for Modeling the Processes of ERS Data Processing and Analysis / R.V. Brezhnev, Yu.A. Maglinets, K.V. Raevich // CEUR Workshop Proceedings.– 2020. –Vol. 2534.–p. 61-67. [Google Scholar]
  19. Obtaining time series of LAI to predict crop yield / E.V. Fedotova, Yu.A. Maglinets, R.V. Brezhnev, A.G. Vyrvinskiy // Modern problems of remote sensing of the Earth from Space, 2020.– Vol. 17, No. 4.–P. 195-203. [Google Scholar]
  20. Modeling of Agricultural Spatial Objects with Heterogeneous Dynamically Changing Spatial Structure / R.V. Brezhnev, Yu.A. Maglinets, K.V. Raevich, G.M. Tsibulski // CEUR Workshop Proceedings. 2018. Vol. 2210 P. 316-322. [Google Scholar]
  21. ESA-SNAP–Stamps integrated processing for Sentinel-1 persistent scatterer interferometry / M. Foumelis, J. Manuel Delgado Blasco, Y. Desnos, M. Engdahl, D. Fernandez, L. Veci / IGARSS. 2018. P. 1364-1367. [Google Scholar]

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