Potryasaev S.A., Pimanov I.Yu., Semenov A.E. Multi-criteria choice of the software package architecture for automating the analysis of the forest vegetation state // IOP Conf. Series: Earth and Environmental Science 806 (2021) 012002. doi:10.1088/1755-1315/806/1/012002

Potryasaev S.A., Pimanov I.Yu. Managing information processes in systems for modeling natural objects // Informatization and Communication. 2020. 5. 182-187. [In Russian] https://doi.org/10.34219/2078-8320-2020-11-5-182-187

Zelentsov V.A., Ponomarenko M.R., Pimanov I.Yu. Thematic services for analysis of forests using Earth observation data // Informatization and Communication. 2020. 5. 175-181. [In Russian] https://doi.org/10.34219/2078-8320-2020-11-5-175-181

Mochalov V.F., Ponomarenko M.R., Pimanov I.Yu., Alekseev A.S. The results of assessing forest fires negative impact in the Leningrad region based on the processing of multispectral remote sensing data // Proceedings of 18th All-Russian Open Conference «Modern issues of remote sensing from space», Space Research Institute of the RAS, November 16-20, 2020 [In Russian].

Zelentsov V.A., Pimanov I.Yu., Ponomarenko M.R., Potriasaev S.A., Semenov A.E. Information technology and a system for the implementation of interdisciplinary projects and the creation of thematic services using Earth remote sensing data // Proceedings of International scientific conference “Earth and Space” commemorating the birth centenary of Professor Kirill Ya. Kondratyev, October 20-21, 2020, p. 25-31. [In Russian]

Krylenko I., Alabyan A., Aleksyuk A., Belikov V., Sazonov A., Zavyalova E., Pimanov I., Potryasaev S., Zelentsov V. Modeling Ice-Jam Floods in the Frameworks of an Intelligent System for River Monitoring // Water Resources. 47. 2020. Pp. 387-398. DOI: 10.1134/S0097807820030069. URL: http://dx.doi.org/10.1134/s0097807820030069.

Zelentsov V., Potryasaev S., Pimanov I., Semenov A. Intellectual Information Platform bringing together diverse data and models for the interdisciplinary projects implementation and environmental management // IOP Conference Series: Earth and Environmental Science. 509. 2020. Pp. 012061. DOI: 10.1088/1755-1315/509/1/012061. URL: http://dx.doi.org/10.1088/1755-1315/509/1/012061

Zelentsov V., Brovkina O., Pimanov I., Potryasaev S. Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data // IOP Conference Series: Earth and Environmental Science, Volume 507, All-Russian scientific-technical conference “Digital technologies in forest sector” 26 – 27 March 2020, Saint Petersburg, Russian Federation. https://doi.org/10.1088%2F1755-1315%2F507%2F1%2F012034

Zelentsov V.A., Potryasaev S.A., Pimanov I.Y., and Ponomarenko M.R. Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2019, XLII-3/W8, 477–483. https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019

Potriasaev S., Zelentsov V., Pimanov I. Computational Processes Management Methods and Models in Industrial Internet of Things // Advances in Intelligent Systems and Computing, vol 1047. 2019. P. 266-276. Springer, Cham. DOI: 10.1007/978-3-030-31362-3_26

Zelentsov, V.A., Alabyan A.M., Krylenko I.N., Pimanov I.Yu., Ponomarenko M.R., Potryasaev S.A., Semenov A.E., Sobolevskii V.A., Sokolov B.V., Yusupov R.M. A Model-Oriented System for Operational Forecasting of River Floods // Herald of the Russian Academy of Sciences. 2019. 89. 405-417. DOI: 10.1134/S1019331619040130.

Zelentsov V. A., Potryasaev S.A., Pimanov I.Y., Ponomarenko M.R. Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2019, XLII-3/W8, 477–483. https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019.

Semenov A., Zelentsov V., Pimanov I. Application Suggesting Attractive Walking Routes for Pedestrians Using an Example of Saint-Petersburg City // Procedia Computer Science, Volume 156, 2019, pp. 319-326. DOI: 10.1016/j.procs.2019.08.208

Zelentsov V.A., Potryasaev S. A., Pimanov I. Yu., Semenov A. E. Design concept and implementation examples of the information system for decision-making support to provide environmental safety of agricultural production // Tekhnologii i tekhnicheskie sredstva mekhanizirovannogo proizvodstva produkcii rastenievodstva i zhivotnovodstva. 2019. 1(98): 6-17 [In Russian]

Zelentsov V.A., Potriasaev S.A., Pimanov I.Yu., Ponomarenko M.R. System for monitoring and forecasting the hydrological situation on the Northern Dvina river based on the integrated use of a complex of models and ground-space data // Proceedings of All-Russian scientific-practical conference “Modern issues of hydrometeorology and sustainable development of the Russian Federation”. St. Petersburg, Russian State Hydrometeorological University, 2019. P. 459-461 [In Russian]

Zelentsov V.A., Potryasaev S.A., Pimanov I.Yu., Ponomarenko M.R. The use of synthetic aperture radar (SAR) data in the analysis of inundated areas during the spring flood // Engineering survey. 2018. 12(7-8). 54-60. https://doi.org/10.25296/1997-8650-2018-12-7-8-54-60

B.V.Sokolov, V.A.Zelentsov, A.Yu.Kulakov, I.Yu.Pimanov. Models and Methods of Reconfiguration of Complex Technical Objects inder Different Situation Conditions // Proceedings of the International Scientific Conference Труды международной научной конференции Mathematical methods in engineering and technology ММEТ NW 2018, September 10-14, 2018, St. Petersburg. P.361–363.

B.V.Sokolov, V.V.Alferov. V.V.Salukhov, I.Yu.Pimanov. Fundamentals of Complex Objects Structural Dynamics Proactive Management Theory and its Application // Proceedings of the International Scientific Conference Труды международной научной конференции Mathematical methods in engineering and technology ММEТ NW 2018, September 10-14, 2018, St. Petersburg. P.79–81.

Zelentsov, V., Potryasaev, S., Pimanov I., Mochalov V. Software suite for creating downstream applications and thematic services on the base of remote sensing data processing and integrated modelling // Proceedings of the international Geoscience and Remote Sensing Systems Symposium (IGARSS 2018), Valencia, Spain, pp 3477-3480 (2018). DOI: 10.1109/IGARSS.2018.8519066

Pimanov I.Yu., Ponomarenko M.R. Use of space radar sensing data for verification of results of short-term forecasting of high water flood // Proceedings of International scientific practical conference of students, graduates and young researchers «Geography in the modern world: century progress and new priorities» dedicated to the 100^th Anniversary of the creation of the 1^st special geographic higher educational institution in Russia – the Geographical Institute – and held within the framework of the XIV Big Geographical Festival. – St. Petersburg, 2018, 636-639 [Electronic publication].

Zelentsov V. et al. River Flood Forecasting System: An Interdisciplinary Approach. In: Refice A., D’Addabbo A., Capolongo D. (eds) Flood Monitoring through Remote Sensing. Springer Remote Sensing/Photogrammetry. Springer, Cham, 2017. DOI https://doi.org/10.1007/978-3-319-63959-8_4

Pimanov I.Yu., Ponomarenko M.R. SAR based detection of flooded areas for the verification of short-term flood forecasting // Geodesy, Cartography, Geoinformatics and Cadastre. From idea to application. Proceedings of the 2nd International Conference on Applied Science.  November 08-10, 2017, Saint Petersburg. Pp. 52-57.

Matiyash V.A., Ponomarenko M.R., Pimanov I.Yu. Development of methodology for SAR based detection of flooded areas for the flood modelling verification // Proceedings of the 8th All-Russia Scientific-Practical Conference on Simulation and its Application in Science and Industry «Simulation. The Theory and Practice» (IMMOD-2017), St. Petersburg, 18-20 October, 2017,  pp. 461-463. [In Russian]

Zelentsov V., Potryasaev S., Pimanov I., Mochalov V. Intellectual information platform for thematic services creation with integrated use of ERS and in-situ data // Proceedings of the International conference “Quo vaditis agriculture, forestry and society under global change?”, 02-04 October 2017, Velké Karlovice (Czech Republic). P.81-85. [Text]

Sokolov B., Mikoni S., Ziuban A., Burakov V., Pimanov I., Ivanov D. Theory and practice of information fusion models’ quality estimation and models’ quality control //29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 с. 194-203.

Ponomarenko M.R., Pimanov I.Yu. Implementation of Synthetic Aperture Radar and Geoinformation Technologies in the Complex Monitoring and Managing of the Mining Industry Objects // Cybernetics and Mathematics Applications in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 574. Springer, Cham, pp. 291-299. DOI 10.1007/978-3-319-57264-2_30

Zelentsov V. А., Kovalev А. P., Pimanov I. Yu. Hierarchical control system for territory management using heterogeneous spatial data // Izv. vuzov. Priborostroenie. 2016. Vol. 59, N 11. P. 944—951 (in Russian). DOI: 10.17586/0021-3454-2016-59-11-944-951.

Ponomarenko M.R., Pimanov I.Yu. Processing of SAR amplitude images with posting the results on web server // J. Sib. Fed. Univ. Eng. technol., 2016, 9(7), 994-1000. DOI: 10.17516/1999-494X-2016-9-7-994-1000

Pimanov I. Yu., Ponomarenko M.R. GIS and radar imagery data for mining facilities monitoring // Proceedings of the 9th conference «Information technologies in management» (ITM-2016), St. Petersburg, JSC “Concern CSRI Elektropribor” 2016, 435-439.

Victor F. Mochalov, Andrei V. Markov, Olga V. Grigorieva, Denis V. Zhukov, Olga V. Brovkina, Ilya Y. Pimanov Remote Sensing for Environmental Monitoring. Complex Modeling //Advances in Intelligent Systems and Computing vol. 466, Springer International Publishing Switzerland, 2016, pp. 497-506. DOI 10.1007/978-3-319-33389-2_47

Zelentsov, V.A., Potryasaev, S.A., Pimanov, I.J., Nemykin, S.A. Creation of intelligent information flood forecasting systems based on service oriented architecture //Advances in Intelligent Systems and Computing vol. 466, Springer International Publishing Switzerland 2016, pp 371-381 DOI 10.1007/978-3-319-33389-2_35