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Andrii Shelestov
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2020 – today
- 2024
- [c51]Bohdan Yailymov, Hanna Yailymova, Nataliia Kussul, Andrii Shelestov:
Flooded Areas' Monitoring Under the Kakhovka Dam Based on Machine Learning and Satellite Data. IGARSS 2024: 1486-1489 - [c50]Hanna Yailymova, Bohdan Yailymov, Yevhenii Salii, Volodymyr Kuzin, Nataliia Kussul, Andrii Shelestov:
A Multimodal Dataset for Forest Damage Detection and Machine Learning. IGARSS 2024: 2949-2953 - [c49]Yevhenii Salii, Volodymyr Kuzin, Alla Lavreniuk, Nataliia Kussul, Andrii Shelestov:
Features' Selection for Forest State Classification using Machine Learning on Satellite Data. IGARSS 2024: 9874-9878 - [c48]Nataliia Kussul, Volodymyr Kuzin, Yevhenii Salii, Bohdan Yailymov, Andrii Shelestov:
Single-polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection. IS 2024: 1-6 - [c47]Bohdan Yailymov, Hanna Yailymova, Nataliia Kussul, Andrii Shelestov:
Semi-Supervised European Forest Types Mapping using High-Fidelity Satellite Data. ProfIT AI 2024: 1-15 - 2023
- [j21]Nataliia Kussul, Sofiia Drozd, Hanna Yailymova, Andrii Shelestov, Guido Lemoine, Klaus Deininger:
Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning. Int. J. Appl. Earth Obs. Geoinformation 125: 103562 (2023) - [c46]Bohdan Yailymov, Hanna Yailymova, Andrii Shelestov, Leonid Shumilo:
Monitoring of Fires Caused by War in Ukraine Based on Satellite Data. DESSERT 2023: 1-5 - [c45]Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov:
Geospatial Analysis of Life Quality in Ukrainian Rural Areas. DESSERT 2023: 1-5 - [c44]Hanna Yailymova, Andrii Kolotii, Nataliia Kussul, Andrii Shelestov:
Air Quality as Proxy for Assesment of Economic Activity. EUROCON 2023: 89-92 - [c43]Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova:
Semi-Supervised Forest Type Mapping in Europe on Satellite Data. IDAACS 2023: 454-458 - [c42]Vladyslav Khaidurov, Bohdan Yailymov, Andrii Shelestov:
Mathematical Model for Determining the Geometric Location of the Environmental Pollutant Based on Sensor Data. IDAACS 2023: 703-707 - [c41]Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov, Leonid Shumilo:
Geospatial Monitoring of Sustainable and Degraded Agricultural Land. IGARSS 2023: 2446-2449 - 2022
- [j20]Viktor O. Makarichev, Irina V. Vasilyeva, Vladimir V. Lukin, Benoît Vozel, Andrii Shelestov, Nataliia Kussul:
Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote. Sens. 14(1): 125 (2022) - [c40]Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova:
Analysis of Cultivated Areas in Ukraine During the War. DESSERT 2022: 1-4 - [c39]Volodymyr Kuzin, Jan Pawel Musial, Andrii Shelestov:
EO4UA Initiative: Scientific European Support of Ukrainian Scientific Community. DESSERT 2022: 1-5 - [c38]Andrii Shelestov, Eduard Siemens:
OCRE project: consortium, main goals, approaches and opportunities. DESSERT 2022: 1-4 - [c37]Sergii Skakun, Christian Abys, Michael Oluwatosin Adegbenro, Inbal Becker-Reshef, Erik Duncan, Jaemin Eun, Joanne Hall, Abdul Qadir, Leonid Shumilo, Yiming Zhang, Nataliia Kussul, Andrii Shelestov, Alexander V. Prishchepov:
High-Impact Hot Spots of Land Cover Land Use Change in Ukraine. DESSERT 2022: 1-5 - [c36]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Alla Lavrenyuk, Leonid Shumilo:
Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks. IGARSS 2022: 1095-1098 - [c35]Nataliia Kussul, Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova:
Fire Danger Assessment Based on the Improved Fire Weather Index. IGARSS 2022: 1584-1587 - [c34]Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo, Sophia Drozd:
Agriculture Land Appraisal with Use of Remote Sensing and Infrastructure Data. IGARSS 2022: 2785-2788 - 2021
- [j19]Mehdi Hosseini, Heather McNairn, Scott W. Mitchell, Laura Dingle Robertson, Andrew A. Davidson, Nima Ahmadian, Avik Bhattacharya, Erik Borg, Christopher Conrad, Katarzyna Dabrowska-Zielinska, Diego de Abelleyra, Radoslaw Gurdak, Vineet Kumar, Nataliia Kussul, Dipankar Mandal, Y. S. Rao, Nicanor Saliendra, Andrii Shelestov, Daniel Spengler, Santiago R. Verón, Saeid Homayouni, Inbal Becker-Reshef:
A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote. Sens. 13(7): 1348 (2021) - [j18]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul:
Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment. Remote. Sens. 13(23): 4769 (2021) - [c33]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Oleg Samoilenko, Leonid Shumilo:
Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv. EUROCON 2021: 88-91 - [c32]Leonid Shumilo, Andrii Shelestov, Bohdan Yailymov, Anton Brazhnyi, Yuliia Bilokonska:
Remote Sensing Data usage for Smart City Greening Strategy Planning. EUROCON 2021: 92-97 - [c31]Andrii Shelestov, Leonid Shumilo, Yuliia Bilokonska, Alla Lavreniuk:
The Land Degradation Estimation Remote Sensing Methods Using RUE-adjusted NDVI. EUROCON 2021: 103-106 - [c30]Mikhail Emelyanov, Hanna Yailymova, Andrii Shelestov, Bohdan Yailymov:
Intellectual Analysis of Major Crops Area due to Climate Changes in Ukraine. EUROCON 2021: 192-196 - [c29]Nataliia Kussul, Hanna Yailymova, Sophia Drozd, Andrii Shelestov:
Validation of the Global Human Settlement Layer and NASA Population Data for Ukraine. IDAACS 2021: 288-291 - [c28]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Artem Chyrkov:
The Wetland Map Validation for Ukraine. IDAACS 2021: 373-376 - [c27]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Leonid Shumilo, Mykola Lavreniuk:
Extension of Copernicus Urban Atlas to Non-European Countries. IGARSS 2021: 6789-6792 - 2020
- [j17]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 Yu. Chunikhin, Marina Dudarenko, Arina Petrosian, Vassyl Danylevsky, Natalia Miatselskaya, Vasyl Choliy:
Essential variables for air quality estimation. Int. J. Digit. Earth 13(2): 278-298 (2020) - [j16]Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, Leonid Shumilo, Andrii Kolotii, Bohdan Yailymov, Nataliia Kussul, Hanna Yailymova:
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. IEEE Trans. Big Data 6(3): 572-582 (2020) - [c26]Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Mykola Lavreniuk, Leonid Shumilo, Yuliia Bilokonska:
Crop monitoring technology based on time series of satellite imagery. DESSERT 2020: 346-350 - [c25]Yuliia Bilokonska, Hanna Yailymova, Bohdan Yailymov, Andrii Shelestov, Leonid Shumilo, Mykola Lavreniuk:
Losses Assessment for Winter Crops Based on Satellite Data and Fuzzy Logic. IDAACS-SWS 2020: 1-5 - [c24]Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Mykola Lavreniuk, Matviy Ilyashenko:
Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project. IGARSS 2020: 1050-1053 - [c23]Leonid Shumilo, Bohdan Yailymov, Andrii Shelestov:
Active Fire Monitoring Service for Ukraine Based on Satellite Data. IGARSS 2020: 2913-2916 - [c22]Andrii Shelestov, Nataliia Kussul, Bohdan Yailymov, Leonid Shumilo, Yuliia Bilokonska:
Assessment of Land Consumption for SDG Indicator 11.3.1 Using Global and Local Built-Up Area Maps. IGARSS 2020: 4971-4974
2010 – 2019
- 2019
- [c21]Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk, Andrii Kolotii, Vladimir Vasiliev:
Land Cover and Land Use Monitoring Based on Satellite Data within World Bank Project. DESSERT 2019: 127-130 - [c20]Leonid Shumilo, Nataliia Kussul, Andrii Shelestov, Yuliia Korsunska, Bohdan Yailymov:
Sentinel-3 Urban Heat Island Monitoring and analysis for Kyiv Based on Vector Data. DESSERT 2019: 131-135 - 2018
- [c19]Andrii Shelestov, Andrii Kolotii, Mykola Lavreniuk, Kyrylo Medyanovskyi, Vladimir Vasiliev, Tatyana Bulanaya, Igor Gomilko:
Air Quality Monitoring in Urban Areas Using in-Situ and Satellite Data Within Era-Planet Project. IGARSS 2018: 1668-1671 - [c18]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Olena Dubovyk, Fabian Löw:
Object-Based Postprocessing Method for Crop Classification MAPS. IGARSS 2018: 7058-7061 - 2017
- [j15]Nataliia Kussul, Mykola Lavreniuk, Sergii Skakun, Andrii Shelestov:
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14(5): 778-782 (2017) - [c17]Nataliia Kussul, Andrii Kolotii, Andrii Shelestov, Bohdan Yailymov, Mykola Lavreniuk:
Land degradation estimation from global and national satellite based datasets within UN program. IDAACS 2017: 383-386 - [c16]Sergey K. Abramov, Oleksii S. Rubel, Vladimir V. Lukin, Ruslan A. Kozhemiakin, Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk:
Speckle reducing for Sentinel-1 SAR data. IGARSS 2017: 2353-2356 - [c15]Andrii Shelestov, Mykola Lavreniuk, Nataliia Kussul, Alexei Novikov, Sergii Skakun:
Large scale crop classification using Google earth engine platform. IGARSS 2017: 3696-3699 - [c14]Nataliia Kussul, Mykola Lavreniuk, Sergii Skakun, Andrii Shelestov:
Cropland productivity assessment for Ukraine based on time series of optical satellite images. IGARSS 2017: 5007-5010 - [c13]Nataliia Kussul, Andrii Kolotii, Andrii Shelestov, Mykola Lavreniuk, Nicolas Bellemans, Sophie Bontemps, Pierre Defourny, Benjamin Koetz:
Sentinel-2 for agriculture national demonstration in ukraine: Results and further steps. IGARSS 2017: 5842-5845 - 2016
- [j14]Nataliia Kussul, Guido Lemoine, Francisco Javier Gallego, Sergii Skakun, Mykola Lavreniuk, Andrii Shelestov:
Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2500-2508 (2016) - [j13]Sergii Skakun, Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk, Olga Kussul:
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3712-3719 (2016) - [c12]Nataliia Kussul, Andrii Shelestov, Mykola Lavreniuk, Igor Butko, Sergii Skakun:
Deep learning approach for large scale land cover mapping based on remote sensing data fusion. IGARSS 2016: 198-201 - [c11]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Tamara Oliinyk, Alexander Kosteckyi:
Validation methods for regional retrospective high resolution land cover for Ukraine. IGARSS 2016: 4502-4505 - [c10]Nataliia Kussul, Mykola Lavreniuk, Andrii Shelestov, Bohdan Yailymov:
Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers. IGARSS 2016: 7145-7148 - 2015
- [c9]Nataliia Kussul, Andrii Shelestov, Ruslan Basarab, Sergii Skakun, Olga Kussul, Mykola Lavrenyuk:
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems. ICTERI 2015: 196-203 - [c8]Andrii Shelestov, Andrii Kolotii, Fernando Camacho, Sergii Skakun, Olga Kussul, Mykola Lavreniuk, Oleksandr Kostetsky:
Mapping of biophysical parameters based on high resolution EO imagery for JECAM test site in Ukraine. IGARSS 2015: 1733-1736 - [c7]Mykola Lavreniuk, Nataliia Kussul, Sergii Skakun, Andrii Shelestov, Bohdan Yailymov:
Regional retrospective high resolution land cover for Ukraine: Methodology and results. IGARSS 2015: 3965-3968 - 2014
- [j12]Francisco Javier Gallego, Nataliia Kussul, Sergii Skakun, Oleksii M. Kravchenko, Andrii Shelestov, Olga Kussul:
Efficiency assessment of using satellite data for crop area estimation in Ukraine. Int. J. Appl. Earth Obs. Geoinformation 29: 22-30 (2014) - [j11]Nataliia Kussul, Andrii Shelestov, Sergii Skakun, Guoqing Li, Olga Kussul, J. Xie:
Service-oriented infrastructure for flood mapping using optical and SAR satellite data. Int. J. Digit. Earth 7(10): 829-845 (2014) - [j10]Nataliia Kussul, Sergii Skakun, Andrii Shelestov, Olga Kussul, Bohdan Yailymov:
Resilience Aspects in the Sensor Web Infrastructure for Natural Disaster Monitoring and Risk Assessment Based on Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(9): 3826-3832 (2014) - [c6]Nataliia Kussul, Sergii Skakun, Andrii Shelestov, Olga Kussul:
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project. IGARSS 2014: 1497-1500 - [c5]Nataliia Kussul, Andrii Kolotii, Sergii Skakun, Andrii Shelestov, Olga Kussul, Tamara Oliynuk:
Efficiency estimation of different satellite data usage for winter wheat yield forecasting in Ukraine. IGARSS 2014: 5080-5082 - [c4]Sergii Skakun, Nataliia Kussul, Olga Kussul, Andrii Shelestov:
Quantitative estimation of drought risk in Ukraine using satellite data. IGARSS 2014: 5091-5094 - 2013
- [j9]Felix N. Kogan, Nataliia Kussul, Tatiana Adamenko, Sergii Skakun, Oleksii M. Kravchenko, Oleksii Kryvobok, Andrii Shelestov, Andrii Kolotii, Olga Kussul, Alla Lavrenyuk:
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models. Int. J. Appl. Earth Obs. Geoinformation 23: 192-203 (2013) - [c3]Nataliia Kussul, Sergii Skakun, Andrii Shelestov, Olga Kussul:
Sensor Web approach to flood monitoring and risk assessment. IGARSS 2013: 815-818 - [c2]Olga Kussul, Nataliia Kussul, Sergii Skakun, Oleksii M. Kravchenko, Andrii Shelestov, Andrii Kolotii:
Assessment of relative efficiency of using MODIS data to winter wheat yield forecasting in Ukraine. IGARSS 2013: 3235-3238 - 2012
- [j8]Nataliia Kussul, Dan Mandl, Karen Moe, Jan-Peter Mund, Joachim Post, Andrii Shelestov, Sergii Skakun, Jörg Szarzynski, Guido Van Langenhove, Matthew Handy:
Interoperable Infrastructure for Flood Monitoring: SensorWeb, Grid and Cloud. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(6): 1740-1745 (2012) - [j7]Nataliia Kussul, Andrii Shelestov, Sergii Skakun, Guoqing Li, Olga Kussul:
The Wide Area Grid Testbed for Flood Monitoring Using Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(6): 1746-1751 (2012) - [c1]Nataliia Kussul, Sergii Skakun, Andrii Shelestov, Oleksii M. Kravchenko, Francisco Javier Gallego, Olga Kussul:
Crop area estimation in Ukraine using satellite data within the MARS project. IGARSS 2012: 3756-3759 - 2011
- [p1]Nataliia Kussul, Andrii Shelestov, Sergii Skakun:
Grid Technologies for Satellite Data Processing and Management Within International Disaster Monitoring Projects. Grid and Cloud Database Management 2011: 279-305 - 2010
- [j6]Ladislav Hluchý, Nataliia Kussul, Andrii Shelestov, Serhiy Skakun, Oleksii M. Kravchenko, Yulia Gripich, Paul Kopp, Evgeny Lupian:
The Data Fusion Grid Infrastructure: Project Objectives and Achievements. Comput. Informatics 29(2): 319-334 (2010)
2000 – 2009
- 2009
- [j5]Nataliia Kussul, Andrii Shelestov, Serhiy Skakun:
Grid and sensor web technologies for environmental monitoring. Earth Sci. Informatics 2(1-2): 37-51 (2009) - 2008
- [j4]Mikhail Popov, Nataliia Kussul, Sergey A. Stankevich, Anna A. Kozlova, Andrii Shelestov, Oleksii M. Kravchenko, Mykhailo B. Korbakov, Serhiy Skakun:
Web service for biodiversity estimation using remote sensing data. Int. J. Digit. Earth 1(4): 367-376 (2008) - [j3]Nataliia Kussul, Andrii Shelestov, Serhiy Skakun:
Grid system for flood extent extraction from satellite images. Earth Sci. Informatics 1(3-4): 105-117 (2008) - 2006
- [j2]Nataliya Kussul, Andrii Shelestov, Serhiy Skakun:
An Agent Approach for Providing Security in Distributed Systems. Int. J. Comput. 5(2): 18-22 (2006) - 2003
- [j1]Nataliia Kussul, Andrii Shelestov, Anton V. Sidorenko, Serhiy Skakun, Volodymyr I. Pasechnyk:
Intelligent Multi-Agent Information Security System. Int. J. Comput. 2(2): 35-39 (2003)
Coauthor Index
aka: Mykola Lavreniuk
aka: Sergii Skakun
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