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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
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
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
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
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
Agriculture Land Appraisal with Use of Remote Sensing and Infrastructure Data. IGARSS 2022: 2785-2788 - 2021
- [j19]Mehdi Hosseini
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
Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment. Remote. Sens. 13(23): 4769 (2021) - [c33]Andrii Shelestov, Hanna Yailymova
Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv. EUROCON 2021: 88-91 - [c32]Leonid Shumilo, Andrii Shelestov, Bohdan Yailymov
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
Intellectual Analysis of Major Crops Area due to Climate Changes in Ukraine. EUROCON 2021: 192-196 - [c29]Nataliia Kussul, Hanna Yailymova
Validation of the Global Human Settlement Layer and NASA Population Data for Ukraine. IDAACS 2021: 288-291 - [c28]Andrii Shelestov, Hanna Yailymova
The Wetland Map Validation for Ukraine. IDAACS 2021: 373-376 - [c27]Andrii Shelestov, Hanna Yailymova
Extension of Copernicus Urban Atlas to Non-European Countries. IGARSS 2021: 6789-6792 - 2020
- [j17]Andrii Shelestov
Essential variables for air quality estimation. Int. J. Digit. Earth 13(2): 278-298 (2020) - [j16]Andrii Shelestov, Mykola Lavreniuk
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
Crop monitoring technology based on time series of satellite imagery. DESSERT 2020: 346-350 - [c25]Yuliia Bilokonska, Hanna Yailymova
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
Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project. IGARSS 2020: 1050-1053 - [c23]Leonid Shumilo, Bohdan Yailymov
Active Fire Monitoring Service for Ukraine Based on Satellite Data. IGARSS 2020: 2913-2916 - [c22]Andrii Shelestov, Nataliia Kussul, Bohdan Yailymov
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
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
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
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
Land degradation estimation from global and national satellite based datasets within UN program. IDAACS 2017: 383-386 - [c16]Sergey K. Abramov
Speckle reducing for Sentinel-1 SAR data. IGARSS 2017: 2353-2356 - [c15]Andrii Shelestov, Mykola Lavreniuk, Nataliia Kussul
Large scale crop classification using Google earth engine platform. IGARSS 2017: 3696-3699 - [c14]Nataliia Kussul
Cropland productivity assessment for Ukraine based on time series of optical satellite images. IGARSS 2017: 5007-5010 - [c13]Nataliia Kussul
Sentinel-2 for agriculture national demonstration in ukraine: Results and further steps. IGARSS 2017: 5842-5845 - 2016
- [j14]Nataliia Kussul
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
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
Deep learning approach for large scale land cover mapping based on remote sensing data fusion. IGARSS 2016: 198-201 - [c11]Mykola Lavreniuk, Nataliia Kussul
Validation methods for regional retrospective high resolution land cover for Ukraine. IGARSS 2016: 4502-4505 - [c10]Nataliia Kussul
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
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
Regional retrospective high resolution land cover for Ukraine: Methodology and results. IGARSS 2015: 3965-3968 - 2014
- [j12]Francisco Javier Gallego, Nataliia 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
Service-oriented infrastructure for flood mapping using optical and SAR satellite data. Int. J. Digit. Earth 7(10): 829-845 (2014) - [j10]Nataliia Kussul
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
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project. IGARSS 2014: 1497-1500 - [c5]Nataliia Kussul
Efficiency estimation of different satellite data usage for winter wheat yield forecasting in Ukraine. IGARSS 2014: 5080-5082 - [c4]Sergii Skakun
Quantitative estimation of drought risk in Ukraine using satellite data. IGARSS 2014: 5091-5094 - 2013
- [j9]Felix N. Kogan
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
Sensor Web approach to flood monitoring and risk assessment. IGARSS 2013: 815-818 - [c2]Olga Kussul, Nataliia Kussul
Assessment of relative efficiency of using MODIS data to winter wheat yield forecasting in Ukraine. IGARSS 2013: 3235-3238 - 2012
- [j8]Nataliia Kussul
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
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
Crop area estimation in Ukraine using satellite data within the MARS project. IGARSS 2012: 3756-3759 - 2011
- [p1]Nataliia Kussul
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
Grid and sensor web technologies for environmental monitoring. Earth Sci. Informatics 2(1-2): 37-51 (2009) - 2008
- [j4]Mikhail Popov, Nataliia Kussul
Web service for biodiversity estimation using remote sensing data. Int. J. Digit. Earth 1(4): 367-376 (2008) - [j3]Nataliia Kussul
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
[c51] [c50] [c49] [c48] [c47] [j21] [c45] [c44] [c43] [c41] [j20] [c40] [c37] [c36] [c35] [c34] [j19] [j18] [c29] [j16] [c26] [c24] [c22] [c21] [c20] [c18] [j15] [c17] [c16] [c15] [c14] [c13] [j14] [j13] [c12] [c11] [c10] [c9] [c7] [j12] [j11] [j10] [c6] [c5] [c4] [j9] [c3] [c2] [j8] [j7] [c1] [p1] [j6] [j5] [j4] [j3] [j1]
Mykola Lavrenyuk
aka: Mykola Lavreniuk
aka: Mykola Lavreniuk
Serhiy Skakun
aka: Sergii Skakun
aka: Sergii Skakun
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