Papers

2024

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic
Sofiia Drozd, Nataliia Kussul
European Journal of Remote Sensing, 2024, Vol. 57, No. 1, 2362390, https://doi.org/10.1080/22797254.2024.2362390
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Digital Ecosystems: Interconnecting Advanced Networks with AI Applications
Nataliia Kussul, Volodymyr Kuzin, and Andrii Shelestov
in Springer Lecture Notes in Electrical Engineering, by Andriy Luntovskyy, Mykhailo Klymash, Igor Melnyk, Mykola Beshley, and Alexander Schill (Eds.), Springer Nature Cham, ISBN 978-3-031-61220-6, vol. 1198, pages V, 495, due 14 August 2024.
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Геопросторовий аналіз потенціалу територій України для розміщення сонячних електростанцій за супутниковими даними
Куссуль Н.М., Дрозд С.Ю.
Космічна наука і технологія. 2024. Т. 30. № 1, pp. 31-43, DOI: https://doi.org/10.15407/knit2024.01.031
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Detection of War-Caused Agricultural Field Damages Using Sentinel-2 Satellite Data with Machine Learning and Anomaly Detection
Sofiia Drozd
SAC ’24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, April 2024, pp. 701–705 https://doi.org/10.1145/3605098.3635169
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Statistical methods of feature engineering for the problem of forest state classification using satellite data
Yevhenii Salii, Alla Lavreniuk, Nataliia Kussul
System research and information technologies, 2024, №1, pp. 86-98. https://doi.org/10.20535/SRIT.2308-8893.2024.1.07
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Acceleration of computations in modelling of processes in complex objects and systems
V. Khaidurov, V.  Tatenko, M. Lytovchenko, T. Tsiupii, T. Zhovnovach
System Research in Energy, 2024, 2 (77), 58-70. https://doi.org/10.15407/srenergy2024.02.058
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Методи машинного навчання для моніторингу навколишнього середовища
Поліна Мікава, Богдан Яйлимов
International Scientific Technical Journal “Problems of Control and Informatics”, 69(2), с. 108–122. doi: 10.34229/1028-0979-2024-2-9.
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Single-Polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection
Nataliia Kussul, Volodymyr Kuzin, Yevhenii Salii, Bohdan Yailymov, Andrii Shelestov
2024 IEEE 12th International Conference on Intelligent Systems (IS), Varna, Bulgaria, August 29-31, 2024.

Transfer Learning Approach for Oil Spills’ Detection Using SAR Satellite Data
Nataliia Kussul, Volodymyr Kuzin, Yevhenii Salii, Bohdan Yailymov and Andrii Shelestov
2024 IEEE 42nd International Conference on Electronics and Nanotechnology (ELNANO), May 13 – 16, 2024, Kyiv, Ukraine.

Features’ Selection for Forest State Classification Using Machine Learning on Satellite Data
Yevhenii Salii, Volodymyr Kuzin, Alla Lavreniuk, Nataliia Kussul
2024 IEEE International Geoscience and Remote Sensing Symposium, 7 – 12 July, 2024, Athens, Greece

A multimodal dataset for forest damage detection and machine learning
Hanna Yailymova, Bohdan Yailymov, Yevhenii Salii, Volodymyr Kuzin, Andrii Odruzhenko, Serhii Sydorenko, Andrii Shelestov, Nataliia Kussul
2024 IEEE International Geoscience and Remote Sensing Symposium, 7 – 12 July, 2024, Athens, Greece

Flooded areas monitoring below the Kakhovka Dam based on machine learning and satellite data
Bohdan Yailymov, Hanna Yailymova, Nataliia Kussul, Andrii Shelestov
2024 IEEE International Geoscience and Remote Sensing Symposium, 7 – 12 July, 2024, Athens, Greece

Assessing Ukraine`s solar power potential: a comprehensive analysis using satellite data and fuzzy logic
Sofiia Drozd, Nataliia Kussul
2024 IEEE International Geoscience and Remote Sensing Symposium, 7 – 12 July, 2024, Athens, Greece


A generalized model for mapping sunflower areas using Sentinel-1 SAR data
Abdul Qadir, Sergii Skakun, Nataliia Kussul, Andrii Shelestov, Inbal Becker-Reshef
In: Remote Sensing of Environment, Volume 306, 15 May 2024, 114132. https://doi.org/10.1016/j.rse.2024.114132
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2023

Метод виявлення пошкоджень земної поверхні внаслідок воєнних дій за допомогою супутникових даних
П.В. Мікава, С.Ю. Дрозд
In: Проблеми керування та інформатики. 68(6), с. 83–93. doi: 10.34229/1028-0979-2023-6-6.
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Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war
Leonid Shumilo, Sergii Skakun, Meredith L. Gore, Andrii Shelestov, Nataliia Kussul, George Hurtt, Dmytro Karabchuk & Volodymyr Yarotskiy
In: Commun Earth Environ 4, 443 (2023). https://doi.org/10.1038/s43247-023-01099-4
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Cloud Platforms and Technologies for Big Satellite Data Processing
Kussul, N., Shelestov, A., Yailymov, B.
In: Dovgyi, S., Trofymchuk, O., Ustimenko, V., Globa, L. (eds) Information and Communication Technologies and Sustainable Development. ICT&SD 2022. Lecture Notes in Networks and Systems, 2023. vol 809. Springer, Cham. pp. 303–321. https://doi.org/10.1007/978-3-031-46880-3_19
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Current Advances on Cloud-Based Distributed Computing for Forest Monitoring
Shelestov, A., Salii, Y., Hordiiko, N., Yailymova, H.
In: Dovgyi, S., Trofymchuk, O., Ustimenko, V., Globa, L. (eds) Information and Communication Technologies and Sustainable Development. ICT&SD 2022. Lecture Notes in Networks and Systems, 2023. vol 809. Springer, Cham. pp. 322–336. https://doi.org/10.1007/978-3-031-46880-3_20
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Comparative analysis of classification techniques for topic-based biomedical literature categorisation
Ihor Stepanov, Arsentii Ivasiuk, Oleksandr Yavorskyi, Alina Frolova
Front. Genet. 14:1238140. doi: 10.3389/fgene.2023.1238140
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Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
Nataliia Kussul, Sofiia Drozd, Hanna Yailymova, Andrii Shelestov, Guido Lemoine, Klaus Deininger
International Journal of Applied Earth Observation and Geoinformation, Dec. 2023, Vol 125, 103562, pp. 1-21, https://doi.org/10.1016/j.jag.2023.103562
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Дослідження представлення багаточасткових графів за допомогою топологічного аналізу даних
О.А. Яворський, Н.М. Куссуль
In: Проблеми керування та інформатики. 68(5), с. 107–117. doi: 10.34229/1028-0979-2023-5-9.
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Модель оцінки якості повітря за супутниковими даними на основі методу групового урахування аргументів
В.В. Хайдуров, Б.Я. Яйлимов, А.Ю. Шелестов
In: Проблеми керування та інформатики. 68(5), с. 93–106. doi: 10.34229/1028-0979-2023-5-8.
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Generative adversarial network augmentation for solving the training data imbalance problem in crop classification
Leonid Shumilo, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, Oleh Shkalikov
In: Remote sensing letters. 2023; vol. 14, no. 11, pp. 1131-1140. https://doi.org/10.1080/2150704X.2023.2275551
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Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine
Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo
In: Fire. 2023; 6(11):411. https://doi.org/10.3390/fire6110411
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Generative Adversarial Network Style Transfer for Sustainable Urban Restoration Planning in Ukraine
Artem Shelestov; Leonid Shumilo
In: 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), Greece, Athens, October 13-15, 2023.  pp. 1-5, doi: 10.1109/DESSERT61349.2023.10416492.
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Assessing Ukrainian Territory Suitability for Solar Power Station Placement Using Satellite Data on Climate and Topography
Nataliia Kussul and Sophia Drozd
In: 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), Greece, Athens, October 13-15, 2023. pp. 1-5, doi: 10.1109/DESSERT61349.2023.10416483.
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Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields
Nataliia Kussul, Sophia Drozd, Sergii Skakun, Erik Duncan and Inbal Becker-Reshef
In: 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), Greece, Athens, October 13-15, 2023. pp. 1-7, doi: 10.1109/DESSERT61349.2023.10416533.
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Geospatial Analysis of Life Quality in Ukrainian Rural Areas
Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov
In: 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), Greece, Athens, October 13-15, 2023. pp. 1-5, doi: 10.1109/DESSERT61349.2023.10416517.
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Monitoring of Fires Caused by War in Ukraine Based on Satellite Data
Bohdan Yailymov, Hanna Yailymova, Andrii Shelestov, Leonid Shumilo
In: 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), Greece, Athens, October 13-15, 2023. pp. 1-5, doi: 10.1109/DESSERT61349.2023.10416520.
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Аналіз часових рядів супутникових даних для моніторингу стану лісів
Гордійко Н.О., Яйлимова Г.О.
In: Проблеми керування та інформатики. 2023. 68(4), с. 96–104. doi: 10.34229/1028-0979-2023-4-8.
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Метод виявлення складних для розпізнавання зразків у наборах даних для задач класифікації у машинному навчанні
Охріменко А.О., Куссуль Н.М.
In: Проблеми керування та інформатики. 2023. 68(4), с. 84–95. doi: 10.34229/1028-0979-2023-4-7.
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Semi-supervised forest type mapping in Europe on satellite data
Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS2023). 7-9 September, 2023, Dortmund, Germany. pp. 454-458. Doi: 10.1109/IDAACS58523.2023.10348948
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Mathematical Model for Determining the Geometric Location of the Environmental Pollutant Based on Sensor Data
Vladyslav Khaidurov, Bohdan Yailymov, Andrii Shelestov
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS2023). 7-9 September, 2023, Dortmund, Germany. pp. 703-707. Doi: 10.1109/IDAACS58523.2023.10348700
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Geospatial monitoring of sustainable and degraded agricultural land
Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov, Leonid Shumilo
Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023, July 16 – 21, 2023, Pasadena, California, pp. 2446 – 2449. doi: 10.1109/IGARSS52108.2023.10283189
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Generative Adversarial Networks for the Satellite Data Super Resolution Based on the Transformers with Attention
Mykola Lavreniuk; Leonid Shumilo; Alla Lavreniuk
Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) 2023, July 16 – 21, 2023, Pasadena, California, pp. 6294-6297, doi: 10.1109/IGARSS52108.2023.10281826.
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Machine learning models and technology for classification of forest on satellite data
Yevhenii Salii, Volodymyr Kuzin, Anton Hohol, Nataliia Kussul, Hanna Yailymova
Proceedings of IEEE EUROCON 2023, July 6 – 8, 2023, Torino, Italy, pp. 93-98, doi: 10.1109/EUROCON56442.2023.10199006.
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Air Quality as Proxy for Assesment of Economic Activity
Hanna Yailymova, Andrii Kolotii, Nataliia Kussul, Andrii Shelestov
Proceedings of IEEE EUROCON 2023, July 6 – 8, 2023, Torino, Italy, pp. 89-92, doi: 10.1109/EUROCON56442.2023.10198882.
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Sustainable Development Goal 2.4.1 for Ukraine Based on Geospatial Data
Hanna Yailymova, Bohdan Yailymov, Yevhen Mazur, Nataliia Kussul and Andrii Shelestov
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 67 – 73. DOI: 10.25673/101915
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Forecast of Yield of Major Crops in Ukraine in War Conditions 2022 based on MODIS and Sentinel-2 Satellite Data
Nataliia Kussul, Sophia Drozd and Hanna Yailymova
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 89-95. DOI:10.25673/101923
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War Damage Detection Based on Satellite Data
Andrii Shelestov, Sophia Drozd, Polina Mikava, Illia Barabash and Hanna Yailymova
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 97-103. DOI:10.25673/101924
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Persistent Homology in Machine Learning: Applied Sciences Review
Oleksandr Yavorskyi, Andrii Asseko-Nkili, Nataliia Kussul
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 61-66. DOI:10.25673/101914
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KNN-Based Algorithm of Hard Case Detection in Datasets for Classification
Anton Okhrimenko, Nataliia Kussul
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 113 – 118. DOI:10.25673/101926
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3D Scene Reconstruction with Neural Radiance Fields (NeRF) Considering Dynamic Illumination Conditions
Olena Kolodiazhna, Volodymyr Savin, Mykhailo Uss, Nataliia Kussul
Proceedings of International Conference on Applied Innovation in IT. 2023. pp. 233 – 238. DOI:10.25673/101943
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Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data
Nataliia Kussul, Oleh Fedorov, Bohdan Yailymov, Liudmyla Pidgorodetska, Liudmyla Kolos, Hanna Yailymova, Andrii Shelestov
In: Fire 2023, vol. 6, no. 2, 72. https://doi.org/10.3390/fire6020072
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Quantifying War-Induced Crop Losses in Ukraine in Near Real Time to Strengthen Local and Global Food Security
Deininger, Klaus; Ali, Daniel Ayalew; Kussul, Nataliia; Shelestov, Andrii; Lemoine, Guido; Yailimova, Hanna.
In: Food Policy. Volume 115, February 2023, 102418. https://doi.org/10.1016/j.foodpol.2023.102418
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Complex method for land degradation estimation
N. Kussul, L. Shumilo, H. Yailymova, A. Shelestov, T. Krasilnikova
In: IOP Conference Series: Earth and Environmental Science, 2023, Vol. 1126, No. 1, p. 012032. DOI 10.1088/1755-1315/1126/1/012032
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Оцінка цілей сталого розвитку в межах Європейської дослідницької мережі (ERA-PLANET)
Наталія Миколаївна Куссуль, Андрій Юрійович Шелестов, Богдан Ялкапович Яйлимов, Олег Павлович Федоров, Ганна Олексіївна Яйлимова, Сергій Васильович Скакун, Леонід Леонідович Шуміло, Людмила Миколаївна Колос, Олексій Олегович Дякун
Міжнародний науково-технічний журнал “Проблеми керування та інформатики”, Том 68 № 1 (2023), с. 95-105. DOI: https://doi.org/10.34229/1028-0979-2023-1-7
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2022

Методологія оцінки індикатора цілей сталого розвитку 11.3.1
Н.М. Куссуль, А.Ю. Шелестов, Б.Я. Яйлимов, М.С. Лавренюк,Г.О. Яйлимова, А.В. Колотій, Л.Л. Шуміло, О.М. Пархомчук
In: Проблеми керування та інформатики. Volume 67, Issue 5, 2022, pages 51-60. doi: 10.34229/2786-6505-2022-5-5
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Reviewing Deep Learning Methods in the Applied Problems of Economic Monitoring Based on Geospatial Data
M. Lavreniuk, L. Shumilo, B. Yailymov & N. Kussul
In: Cybern Syst Anal 58, 1008–1020 (2022). https://doi.org/10.1007/s10559-023-00535-9
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Огляд методів глибинного навчання у прикладних задачах економічного моніторингу на основі геопросторових даних
Лавренюк М.С.,  Шуміло Л.Л., Яйлимов Б.Я.,  Куссуль Н.М.
In: Кібернетика та системний аналіз – 2022. 58(6.), pp. 177–192.
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EO4UA initiative: scientific European Support of Ukrainian scientific community
Kuzin V., Shelestov A., Musial J.
In: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT’2022), December 9-11, 2022, Greece, Athens. DOI: 10.1109/DESSERT58054.2022.10018706
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OCRE project: consortium, main goals, approaches and opportunities
Shelestov A., Siemens E.
In: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT’2022), December 9-11, 2022, Greece, Athens. DOI: 10.1109/DESSERT58054.2022.10018772
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Detection of war-damaged agricultural fields of Ukraine based on vegetation indices using Sentinel-2
Kussul N., Drozd S., Yailymova H.
In: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT’2022), December 9-11, 2022, Greece, Athens. DOI: 10.1109/DESSERT58054.2022.10018739
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Analysis of Cultivated Areas in Ukraine During the War
Kussul N., Shelestov A., Yailymov B., Yailymova H.
In: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT’2022), December 9-11, 2022, Greece, Athens. DOI: 10.1109/DESSERT58054.2022.10018813
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High-Impact hot spots of land cover land use change in Ukraine
Skakun S., Abys C., Adegbenro M., Becker-Reshef I., Duncan E., Eun J., Hall J., Qadir A., Shumilo L., Zhang Y., Kussul N., Shelestov A., Priscchepov A.
In: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT’2022), December 9-11, 2022, Greece, Athens. DOI: 10.1109/DESSERT58054.2022.10018657
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Improved Fire Weather Index assessment based on the satellite weather data and soil moisture deficit
O. Fedorov, N. Kussul, Ya. Zyelyk, L. Pidgorodetska, L. Kolos, B. Yailymov, H. Yailymova, A. Shelestov
In: International Scientific Conference «Monitoring of Geological Processes and Ecological Condition of the Environment» 15-18 November 2022, Kyiv, Ukraine
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Earth observation: An integral part of a smart and sustainable city
Evangelos Gerasopoulos,  Jennifer Bailey, Eleni Athanasopoulou,  Orestis Speyer, David Kocman, Astrid Raudner, Alexia Tsouni, Haris Kontoes, Christer Johansson, Charalampos Georgiadis, Volker Matthias, Nataliia Kussul, Mariella Aquilino, Pauli Paasonen
In: Environmental Science & Policy132, pp. 296-307. DOI: 10.1016/j.envsci.2022.02.033
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Essential earth observation variables for high-level multi-scale indicators and policies
Anthony Lehmann, Paolo Mazzetti, Mattia Santoro, Stefano Nativi, Joan Masò, Ivette Serral, Daniel Spengler, Aidin Niamir, Pierre Lacroix, Mariapaola Ambrosone, Ian McCallum, Nataliia Kussul, Petros Patias, Denisa Rodila, Nicolas Ray, Grégory Giuliani
In: Environmental Science & Policy131, pp. 105-117. DOI: 10.1016/j.envsci.2021.12.024
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Cloud-Based Technologies for Data Processing in Ukraine: International Context
Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Svitlana Nosok, Oleh Piven
In: Ilchenko, M., Uryvsky, L., Globa, L. (eds) Progress in Advanced Information and Communication Technology and Systems. MCiT 2021. Lecture Notes in Networks and Systems, vol 548. Springer, Cham. pp. 101–118. DOI: 10.1007/978-3-031-16368-5_5
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Mathematical Models and Informational Technologies of Crop Yield Forecasting in Cloud Environment
Leonid Shumilo, Sofia Drozd, Nataliia Kussul, Andrii Shelestov, Sergiy Sylantyev
In: Ilchenko, M., Uryvsky, L., Globa, L. (eds) Progress in Advanced Information and Communication Technology and Systems. MCiT 2021. Lecture Notes in Networks and Systems, vol 548. Springer, Cham. pp. 143–164. DOI: 10.1007/978-3-031-16368-5_7
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Neural Network Model for Monitoring of Landfills Using Remote Sensing Data
H. Yailymova, P. Mikava, N. Kussul, T. Krasilnikova, A. Shelestov, B. Yailymov, D. Titkov
In: 2022 IEEE Third International Conference on System Analysis & Intelligent Computing (SAIC), October 04 – 07, Kyiv, Ukraine – 2022. pp. 1-4. DOI: 10.1109/SAIC57818.2022.9923013
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Використання супутникових продуктів для аналізу змін територій природно-заповідного фонду України
Яйлимов Б.Я., Яйлимова Г.О., Шелестов А.Ю., Лавренюк А.М.
In: Проблеми керування та інформатики – 2022. С. 135-150.
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Інтелектуальні методи та моделі обробки супутникових даних у задачі моніторингу звалищ
Яйлимова Г.О., Яйлимов Б.Я., Шелестов А.Ю., Красільнікова Т.М.
In: Проблеми керування та інформатики – 2022. С. 128-140.
doi: 10.34229/1028-0979-2022-2-9
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Super resolution approach for the satellite data based on the generative adversarial networks
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Alla Lavrenyuk, Leonid Shumilo
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 17 – 22 July, 2022, Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia (Physical and online format). pp. 1095 – 1098. DOI: 10.1109/IGARSS46834.2022.9884460
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Fire danger assessment based on the improved fire weather index
Nataliia Kussul, Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 17 – 22 July, 2022, Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia (Physical and online format). pp. 1584-1587. DOI: 10.1109/IGARSS46834.2022.9884378
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Agriculture land appraisal with use of remote sensing and infrastructure data
Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo, Sophia Drozd
2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 17 – 22 July, 2022, Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia (Physical and online format). pp. 2785 – 2788. DOI: 10.1109/IGARSS46834.2022.9884045
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Quantifying War-Induced Crop Losses in Ukraine in Near Real Time to Strengthen Local and Global Food Security.
Deininger, Klaus; Ali, Daniel Ayalew; Kussul, Nataliia; Shelestov, Andrii; Lemoine, Guido; Yailimova, Hanna. 2022.
Policy Research Working Paper;10123. Washington, DC : World Bank. © World Bank.
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Вплив зміни клімату на площі основних сільськогосподарських культур
Ємельянов, М.О., Шелестов, А.Ю., Яйлимова, Г.О., Шуміло, Л.Л.
In: Космічна наука і технологія. 2022. 28, № 2 (135). С. 30—38. https://doi.org/10.15407/knit2022.02.030
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Валідація карт деградації земель на основі геопросторових даних
Б.Я. Яйлимов, А.Ю. Шелестов, М.О. Ємельянов, О.М. Пархомчук
In: Проблеми керування та інформатики – 2022. С. 112 – 125.
doi: 10.34229/1028-0979-2022-1-10
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Classification Accuracy of Three-Channel Images Compressed by Discrete Atomic Transform
V. Makarichev, I. Vasilyeva, V. Lukin, N. Kussul & A. Shelestov
In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering – 2021. ICTM 2021. Lecture Notes in Networks and Systems. — 2022. – Vol. 367  pp. 246-258. https://doi.org/10.1007/978-3-030-94259-5_22.
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Earth observation: An integral part of a smart and sustainable city
E. Gerasopoulos, J. Bailey, E. Athanasopoulou, O. Speyer, D. Kocman, A. Raudner, A. Tsouni, H. Kontoes, C. Johansson, C. Georgiadis, V. Matthias, N. Kussul, M. Aquilino, P. Paasonen
Environmental Science & Policy. — 2022. – Vol. 132  pp. 296-307. https://doi.org/10.1016/j.envsci.2022.02.033.
Link>>>

Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields
N. Kussul, K. Deininger, L. Shumilo, M. Lavreniuk, D. Ayalew Ali., O. Nivievskyi
Sustainability. — 2022. – No. 14(7):3965  pp. 125-132. https://doi.org/10.3390/su14073965.
Link>>>

Information Technology for Land Degradation Assessment Based on Remote Sensing
N. Kussul, A. Shelestov, L. Shumilo, D. Titkov, H. Yailymova
Proceedings of International Conference on Applied Innovation in IT. Volume 10, Issue 1 — pp. 113-117. doi:10.25673/76941.
Link>>>

Advanced Method of Land Cover Classification Based on High Spatial Resolution Data and Convolutional Neural Network
A. Shelestov, B. Yailymov, H.Yailymova, L. Shumilo, M. Lavreniuk, A. Lavreniuk, S. Sylantyev, N. Kussul
Proceedings of International Conference on Applied Innovation in IT. Volume 10, Issue 1 pp. 125-132. doi:10.25673/76943.
Link>>>

Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control
V. Makarichev, I. Vasilyeva,V. Lukin, B. Vozel, A. Shelestov, N. Kussul
Remote Sensing — 2022. — Volume 14(1), 125, https://doi.org/10.3390/rs14010125.
Link>>>

Essential earth observation variables for high-level multi-scale indicators and policies
A. Lehmannab, P. Mazzettic, M. Santoroc, S. Nativic, J. MasòdIvette, S. Daniel, S. Aidin, N. Pierre, L. Mariapaola, A. McCallumh, N. Kussul, P. Patiasj, D. Rodilaag, N. Rayk, G. Giulianiag
Environmental Science & Policy. — 2022. — Volume 131 (P. 105-117), https://doi.org/10.1016/j.envsci.2021.12.024.
Link>>>

2021

Validation of the global human settlement layer and NASA population data for Ukraine
Nataliia Kussul, Hanna Yailymova, Sophia Drozd, Andrii Shelestov
11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.  – 2021. – Cracow (virtual format). – P. 288 – 291. DOI: 10.1109/IDAACS53288.2021.9661062.
Link>>>

The Wetland Map Validation for Ukraine 
Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Artem Chyrkov
11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.  – 2021. – Cracow (virtual format). – P. 343 – 376. DOI: 10.1109/IDAACS53288.2021.9661037.
Link>>>

Automatic Deforestation Detection based on the Deep Learning in Ukraine
Leonid Shumilo, Mykola Lavreniuk, Nataliia Kussul, Bella Shevchuk
11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.  – 2021. – Cracow (virtual format). – P. 337 – 342. DOI: 10.1109/IDAACS53288.2021.9661008.
Link>>>

Geospatial analysis of leased lands in Ukraine 
Andrii Shelestov, Bohdan Yailymov, Parkhomchuk Oleksandr
2021 IEEE 5th International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).  – 2021. – Kyiv (virtual format). – P. 47-50. DOI: 10.1109/UkrMiCo52950.2021.9716682
Link>>>

Crop yield forecasting for major crops in Ukraine
Andrii Shelestov, Leonid Shumilo, Hanna Yailymova, Sophia Drozd
2021 IEEE 5th International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).  – 2021. – Kyiv (virtual format). – P. 35-38. DOI: 10.1109/UkrMiCo52950.2021.9716672
Link>>>

Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment
Andrii Shelestov, Hanna YailymovaBohdan Yailymov, Nataliia Kussul
Remote sensing. – 2021. – No. 13(23), 4769. doi: doi.org/10.3390/rs13234769.
Link>>>

Is Soil Bonitet an Adequate Indicator for Agricultural Land Appraisal in Ukraine?
Leonid Shumilo, Mykola Lavreniuk, Sergii Skakun, Nataliia Kussul
Міжнародний науковий журнал «Sustainability» видавництва MDPI. – 2021. – N0. 13, 12096. doi: 10.3390/su132112096.
Link>>>

Цифровізація розвитку міст: Urban Atlas на основі відкритих даних для міст України
А. Ю. Шелестов, А. М. Лавренюк, Б. Я. Яйлимов, Г. О. Яйлимова
Журнал «Радіоелектронні і комп’ютерні системи». – 2021. – No. 3(99). – P. 19-28.
DOI: 10.32620/reks.2021.3.02
Link>>>

U-net model for logging detection based on the Sentinel-1 and Sentinel-2 data
Leonid Shumilo, Nataliia Kussul, Mykola Lavreniuk
2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). – 2021. – Brussels (virtual format). – pp. 4680-4683, doi: 10.1109/IGARSS47720.2021.9554885.
Link>>>

Extension of Copernicus Urban Atlas to non-european countries
Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Leonid Shumilo, Alla Lavreniuk
2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). – 2021. – Brussels (virtual format). – pp. 6789-6792, doi: 10.1109/IGARSS47720.2021.9553546.
Link>>>

Relationships Between Land Degradation and Climate Change Vulnerability of Agricultural Water Resources
Nataliia Kussul, Leonid Shumilo, Loukas Garanis
2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). – 2021. – Brussels (virtual format). – pp. 747-750, doi: 10.1109/IGARSS47720.2021.9553489.
Link>>>

Intellectual Analysis of Major Crops Area due to Climate Changes in Ukraine
Mikhail Emelyanov, Hanna Yailymova, Andrii Shelestov, Bohdan Yailymov
2021 IEEE 19th International Conference on Smart Technologies (EUROCON). – 2021. – Lviv (virtual format). – presented. – pp. 192-196, doi: 10.1109/EUROCON52738.2021.9535607.
Link>>>

Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv
Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Oleg Samoilenko, Leonid Shumilo
2021 IEEE 19th International Conference on Smart Technologies (EUROCON). – 2021. – Lviv (virtual format). – presented. – pp. 88-91, doi: 10.1109/EUROCON52738.2021.9535629.
Link>>>

The Land Degradation Estimation Remote Sensing Methods Using RUE-adjusted NDVI
Andrii Shelestov, Leonid Shumilo, Yuliia Bilokonska, Alla Lavreniuk
2021 IEEE 19th International Conference on Smart Technologies (EUROCON). – 2021. – Lviv (virtual format). – presented. – pp. 103-106, doi: 10.1109/EUROCON52738.2021.9535610.
Link>>>

Remote Sensing Data usage for Smart City Greening Strategy Planning
Leonid Shumilo, Andrii Shelestov, Bohdan Yailymov, Anton Brazhnyi, Yuliia Bilokonska
2021 IEEE 19th International Conference on Smart Technologies (EUROCON). – 2021. – Lviv (virtual format). – presented. – pp. 92-97, doi: 10.1109/EUROCON52738.2021.9535595.
Link>>>

Environmental and political implications of underestimated cropland burning in Ukraine
Joanne V HallSergiy V ZibtsevLouis GiglioSergii SkakunViktor MyroniukOleksandr ZhuravelJohann Georg Goldammer and Nataliia Kussul
Environmental Research Letters. – 2021. – Vol. 16, No. 6. – P. 1-12.  DOI: 10.1088/1748-9326/abfc04
Link>>>

A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index
M. Hosseini, H.McNairn, S. Mitchell, L. Robertson, A. Davidson, N. Ahmadian, A. Bhattacharya, E. Borg, C. Conrad, K. Dabrowska-Zielinska, D. de Abelleyra, R. Gurdak, V. Kumar, N. Kussul, D. Mandal, Y. S. Rao, N. Saliendra, A. Shelestov, D. Spengler, S. R. Verón, S. Homayouni and I. Becker-Reshef
Remote Sensing. – 2021. – Vol. 13, No. 7. – P. 1-20.  DOI: 10.3390/rs13071348
Link>>>

SDG INDICATOR 11.3.1 WITHIN HORIZON-2020 SMURBS
N. Kussul, A. Shelestov, M. Lavreniuk, B. Yailymov, A. Kolotii, H. Yailymova, S. Skakun, L. Shumilo, Y. Bilokonska
Space research in Ukraine. 2018–2020. – 2021. – P. 91-95.
ISBN 978-966-360-425-1

2020

Losses assessment for winter crops based on satellite data and fuzzy logic
Yuliia Bilokonska, Hanna Yailymova, Bohdan Yailymov, Andrii Shelestov, Leonid Shumilo and Mykola Lavreniuk
IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS). – IEEE, 2020. – P. 1-5.
DOI: 10.1109/IDAACS-SWS50031.2020.9297059

Satellite agricultural monitoring in Ukraine at Country level: World bank project
Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Mykola Lavreniuk, Matviy Ilyashenko
IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium. – Waikoloa, HI, USA. – P. 1050-1053.
DOI: 10.1109/IGARSS39084.2020.9324573

Active fire monitoring service for Ukraine based on satellite data
Leonid Shumilo, Yailymov Bohdan, Shelestov Andrii
IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium. – Waikoloa, HI, USA. – P. 2913-2916.
DOI: 10.1109/IGARSS39084.2020.9323922

Assessment of land consumption for sdg indicator 11.3.1 using global and local built-up area maps
Andrii Shelestov, Nataliia Kussul, Bohdan Yailymov, Leonid Shumilo, Yuliia Bilokonska
IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium. – Waikoloa, HI, USA. – P. 4971-4974.
DOI: 10.1109/IGARSS39084.2020.9324390

Супутниковий моніторинг посівів по Україні
А.Ю. Шелестов, Б.Я. Яйлимов, Г.О. Яйлимова, Ю.В. Білоконська, О.В. Нів’євський
Журнал «Космічна наука і технологія». – 2020. – Том 26, 6 (127). – С. 27-37.
DOI: 10.15407/knit2020.06.027

Crop monitoring technology based on time series of satellite imagery
Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Mykola Lavreniuk, Leonid Shumilo and Yuliia Bilokonska
IEEE 11th International Conference on Dependable Systems, Services and Technologies.  – 2020. – P. 346-350.
DOI10.1109/DESSERT50317.2020.9125031

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data
Nataliia Kussul, Mykola Lavreniuk, Andrii Kolotii, Sergii Skakun, Olena Rakoid, Leonid Shumilo
International Journal of Digital Earth. – 2020. – Vol. 2, No. 13. P. 309-321.
DOI: 10.1080/17538947.2019.1610807

Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, Leonid Shumilo, Andrii Kolotii, Bohdan Yailymov, Nataliia Kussul, Hanna Yailymova IEEE Transactions on Big Data – 2020. – Vol. 6, No. 3. – 572-582 pp.
DOI: 10.1109/TBDATA.2019.2940237

Electronic ISSN: 2332-7790
CD-ROM ISSN: 2372-2096.

2019

Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
Pierre Defourny, Sophie Bontemps, Nicolas Bellemans, Cosmin Cara, Gérard Dedieu, Eric Guzzonato, Olivier Hagolle, Jordi Inglada, Laurentiu Nicola, Thierry Rabaute, Mickael Savinaud, Cosmin Udroiu, Silvia Valero, Agnès Bégué, Jean-François Dejoux, Abderrazak El Harti, Jamal Ezzahar, Nataliia Kussul, Kamal Labbassi, Valentine Lebourgeois, Zhang Miao, Terrence Newby, Adolph Nyamugama, Norakhan Salh, Andrii Shelestov, Vincent Simonneaux, Pierre Sibiry Traore, Souleymane S Traore, Benjamin Koetz
Remote sensing of environment. – 2019. – Vol. 221. – P. 551-568.
DOI: 10.1016/j.rse.2018.11.007

Satellite data reveal cropland losses in South-Eastern Ukraine under military conflict
Sergii Skakun, Christopher O Justice, Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk
Frontiers in Earth Science. – 2019. – P. 305.
DOI: 10.3389/feart.2019.00305

Conflation of expert and crowd reference data to validate global binary thematic maps
François Waldner, Anne Schucknecht, Myroslava Lesiv, Javier Gallego, Linda See, Ana Pérez-Hoyos, Raphaël d’Andrimont, Thomas De Maet, Juan Carlos Laso Bayas, Steffen Fritz, Olivier Leo, Hervé Kerdiles, Mónica Díez, Kristof Van Tricht, Sven Gilliams, Andrii Shelestov, Mykola Lavreniuk, Margareth Simões, Rodrigo Ferraz, Beatriz Bellón, Agnès Bégué, Gerard Hazeu, Vaclav Stonacek, Jan Kolomaznik, Jan Misurec, Santiago R Verón, Diego De Abelleyra, Dmitry Plotnikov, Li Mingyong, Mrinal Singha, Prashant Patil, Miao Zhang, Pierre Defourny Remote sensing of environment. – 2019. – Vol. 221. – P. 235-246.
DOI: 10.1016/j.rse.2018.10.039

URBAN ATLAS ДЛЯ МІСТ УКРАЇНИ НА ОСНОВІ СУПУТНИКОВИХ ДАНИХ ВИСОКОГО РОЗРІЗНЕННЯ
Н.М. Куссуль, А.Ю. Шелестов, Б.Я. Яйлимов, Л.Л. Шуміло, Г.О. Яйлимова, М.С. Лавренюк, Л.М. Колос,
Л.В. Підгородецька, Ю.В. Білоконська
Журнал «Космічна наука і технологія». – 2019. – T. 25, Vol. 6, No. 121. – P. 51-60.
DOI: 10.15407/knit2019.06.051

Essential variables for air quality estimation
Andrii Shelestov, Andrii Kolotii, Tatiana Borisova, Olena Turos, Gennadi Milinevsky, Igor Gomilko, Tatyana Bulanay, Oleg Fedorov, Leonid Shumilo, Liudmyla Pidgorodetska, Liudmyla Kolos, Arsenii Borysov, Natalia Pozdnyakova, Alexander Chunikhin, Maryna Dudarenko, Alexander Chunikhin,Maryna Dudarenko, Arina Petrosian, Vassyl Danylevsky, Arina Petrosian, Vassyl Danylevsky, Natallia Miatselskaya, Vasyl Choliy
International Journal of Digital Earth. –  2019. – P. 278-298.
DOI:  10.1080/17538947.2019.1620881

2018

ГЛИБИННИЙ ПІДХІД ДО КЛАСИФІКАЦІЇ СІЛЬСЬКОГОСПОДАРСЬКИХ КУЛЬТУР НА ОСНОВІ ВЕЛИКИХ ОБСЯГІВ ДАНИХ
Н. Куссуль, А. Шелестов, М. Лавренюк, Б. Яйлимов, А. Клотій, Г. Яйлимова, С. Скакун, Л. Шуміло
Космічні дослідження в Україні. 2016 — 2018 / Наук. ред. : О.П. Федоров ; ІКД НАНУ та ДКАУ. — К. : Академперіодика, 2018. — С. 73-79.
ISBN 978-966-02-8589-7

Conflation of expert and crowd reference data to validate global binary thematic maps
Francois Waldnera, Anne Schucknechtc, Myroslava Lesive, Javier Gallegoc, Linda Seee, Ana Perez-Hoyosc, Raphael d’Andrimonta, Thomas de Maeta, Juan Carlos Laso Bayase, Steffen Fritze, Olivier Leoc, Herve Kerdilesc, Monica Diezf, Kristof Van Trichtg, Sven Gilliamsg, Andrii Shelestov, Mykola Lavreniuk, Margareth Simoesi, Rodrigo Ferrazi, Beatriz Bellonj, Agnes Beguej, Gerard Hazeuk, Vaclav Stonacekl, Jan Kolomaznikl, Jan Misurecl, Santiago R. Veronm, Diego de Abelleyram, Dmitry Plotnikovo, Li Mingyongp, Mrinal Singhap, Prashant Patilp, Miao Zhangp, Pierre Defournya
Remote Sensing of Environment. – 2018. – P. 235-246.
DOI: 10.1016/j.rse.2018.10.039 

Despeckling of Multitemporal Sentinel SAR Images and Its Impact on Agricultural Area Classification
Vladimir Lukin, Oleksii Rubel, Ruslan Kozhemiakin, Sergey Abramov, Andrii Shelestov, Mykola Lavreniuk, Mykola Meretsky, Benoit Vozel and Kacem Chehdi
In Recent Advances and Applications in Remote Sensing. IntechOpen (Chapter 2). – 2018. – P. 21-40.
DOI: 10.5772/intechopen.72577 

Методи визначення істотних змінних для оцінки стану земного покриву
Б.Я. Яйлимов, М.С. Лавренюк, А.Ю. Шелестов, А.В. Колотій, Г.О. Яйлимова, О.П. Федоров
Космічна наука і технологія. – 2018. – Том. 24, №. 4. – С. 24-37.
DOI: doi.org/10.15407/knit2018.04.026 

Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery
Nataliia Kussul, Lavreniuk Mykola, Andrii Shelestov, Sergii Skakun
European Journal of Remote Sensing. – 2018. – Vol. 51. – P. 627-636.
DOI: 10.1080/22797254.2018.1454265 

Метод об’єктної постобробки карт класифікації з урахуванням специфіки кожного класу
М. С. Лавренюк
Авиационно-космическая техника и технология — 2018. — Vol. 12, P. 80–91
DOI: 10.32620/aktt.2018.1.10

Air Quality Monitoring in Urban Areas Using in-Situ and Satellite Data Within Era-Planet Project
Andrii Shelestov, Andrii Kolotii, Mykola Lavreniuk, Kyrylo Medyanovskyi, Vladimir Vasiliev, Tatyana Bulanaya, Igor Gomilko
IGARSS, Valencia, Spain. – 2018. – P. 1668-1671.
DOI:10.1109/IGARSS.2018.8518368

Object-based postprocessing method for crop classification maps
M. Lavreniuk, N. Kussul, A. Shelestov, O. Dubovyk, F. Low
IGARSS, Valencia, Spain. – 2018. – P. 7062-7065.
DOI:10.1109/IGARSS.2018.8519199

Assessment of Sustainable Development Goals Achieving with Use of NEXUS Approach in the Framework of GEOEssential ERA-PLANET Project
Nataliia Kussul, Mykola Lavreniuk, Leonid Sumilo, Andrii Kolotii, Olena Rakoid, Bohdan Yailymov, Andrii Shelestov, Vladimir Vasiliev
XVIII International Conference on Data Science and Intelligent Analysis of Information ICDSIAI 2018: Recent Developments in Data Science and Intelligent Analysis of Information. – 2018. – P. 146-155.
DOI: 10.1007/978-3-319-97885-7_15 

Indoor and Outdoor Air Quality Monitoring on the Base of Intelligent Sensors for Smart City
Andrii Shelestov, Leonid Sumilo, Mykola Lavreniuk, Vladimir Vasiliev, Tatyana Bulanaya, Igor Gomilko, Andrii Kolotii, Kyrylo Medianovskyi, Sergii Skakun
XVIII International Conference on Data Science and Intelligent Analysis of Information ICDSIAI 2018: Recent Developments in Data Science and Intelligent Analysis of Information – 2018. – P. 134-145.
DOI: 10.1007/978-3-319-97885-7_14