Наукові статті, надруковані у закордонних виданнях:

1. Filipovich V., Lishchenko L., Pazynych N., Krylova H., Teremenko A. The use of remote sensing monitoring of the urban area, to reduce the environmental risks associated with anthropogenic load. [Електронний ресурс] Режим доступу: https://www.researchgate.net/publication/278034780 DOI: 10.13140/RG.2.1.1698.8320
2. Kostyuchenko Yuriy, Movchan D., Kopachevsky I., Bilous Yu. Robust Algorithm of Multi-Source Data Analysis for Evaluation of Social Vulnerability in Risk Assessment Tasks // Proc. of SAI Intelligent Systems Conference 2015 November 10-11, 2015, pp. 944- 949, IEEE, London, UK, doi 978-1-4673-7606-8/15
3. Kostyuchenko Yu, Movchan D. 2015. Quantitative parameter of risk perception: can we measure a geoethic and socio-economic component in disaster vulnerability? In: Peppoloni, S. & Di Capua, G. (eds) Geoethics: the Role and Responsibility of Geoscientists. Geological Society, London, Special Publications, 419, 79-86. First published online Feb 13, 2015, http://dx.doi.org/10.1144/SP419.10
4. Movchan D., Kostyuchenko Yu. 2015. Regional dynamics of terrestrial vegetation productivity and climate feedbacks for territory of Ukraine. International Journal of Geographical Information Science, 29(8), 1490–1505, http://dx.doi.org/10.1080/13658816.2015.1051985
5. Oleksii I. Sakhatskyi, Sergey A. Stankevich, Galina M. Zholobak, Alexander A. Apostolov, Akira Iwasaki, Shinichi Nakasuka, Seiji Yoshimoto, Yoshihide Aoyanagi Vegetation cover state evaluation within the Fukushima-1 area by multispectral and radar satellite data analysis // Proc. ISPRS WG IV/2 Workshop ”Global Geospatial Information and High Resolution Global Land Cover/Land Use Mapping”, Ap. 2015 y. – Novosibirsk, Russian Federation. – SSUGT, 2015. – P. 48-55.
6. Piestova I. Quantitative vegetation mapping of urban area using high-resolution multispectral satellite imagery // Science-Based Technologies, 2015. - Vol.2. - No.26. - P.153-158.
7. Popov M.A., Alpert S.I., Podorvan V.N., Topolnytskyi M.V., Mieshkov S.I. Method of hyperspectral satellite image classification under contaminated training samples based on Dempster-Shafer’s paradigm // Central European Researchers Journal, 2015.- Vol.1.- No.1.- P.86-97.
8. See L, Schepaschenko D, Lesiv M, McCallum I, Fritz S, Perger C, Vakolyuk M, Schepaschenko M, van der Velde M, Kraxner F, Obersteiner M. Building a hybrid land cover map with crowdsourcing and geographically weighted regression // ISPRS Journal of Photogrammetry and Remote Sensing, № 103, 2015, P.48-56. Електронний доступ: http://www.sciencedirect.com/science/article/pii/S0924271614001713
9. Shklyar S. Identifiability of logistic regression with homoscedastic error: Berkson model // Modern Stochastics: Theory and Applications, 2015. - Vol.2. - No.2. - P.131-146.
10. Stankevich S., Titarenko O., Amiranashvili A., Chargazia K. Modeling of ozone content distribution in lower troposphere over the territory of Georgia using the data of satellite and ground observations // Bulletin of the Georgian National Academy of Sciences, 2015.- Vol.9.- No.2.- P.54-58.
11. Stankevich S.A., Titarenko O.V., Kharytonov M.M., Benselhoub A., Bounouala M., Chaabia R., Boukeloul M.-L. Mapping of urban atmospheric pollution in the northern part of Algeria with nitrogen dioxide using satellite and ground-truth data // Studia Universitatis “Vasile Goldis”, 2015. - Vol.25. - No.2. - P.87-92.
12. Vadim I. Lyalko, Vladimir E. Filipovich, Lyidmila P.Lischenko, Natalia V. Pazynych, Alexsandr N. Teremenko and Anna B. Krylova. Remote sensing monitoring of historical centre of Kyiv for reducing risks from disasters at world heritages properties // Fifteenth Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, Fukuoka, Japan, November 9-13, 2015 - P.