| Deep learning classification of land cover and crop types using remote sensing data N Kussul, M Lavreniuk, S Skakun, A Shelestov IEEE Geoscience and Remote Sensing Letters 14 (5), 778-782, 2017 | 1755 | 2017 |
| Exploring Google Earth Engine platform for big data processing: Classification of multi-temporal satellite imagery for crop mapping A Shelestov, M Lavreniuk, N Kussul, A Novikov, S Skakun frontiers in Earth Science 5, 232994, 2017 | 507 | 2017 |
| 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 P Defourny, S Bontemps, N Bellemans, C Cara, G Dedieu, E Guzzonato, ... Remote sensing of environment 221, 551-568, 2019 | 328 | 2019 |
| Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models F Kogan, N Kussul, T Adamenko, S Skakun, O Kravchenko, O Kryvobok, ... International Journal of Applied Earth Observation and Geoinformation 23 …, 2013 | 244 | 2013 |
| Parcel-based crop classification in Ukraine using Landsat-8 data and Sentinel-1A data N Kussul, G Lemoine, FJ Gallego, SV Skakun, M Lavreniuk, AY Shelestov IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 224 | 2016 |
| Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine S Skakun, N Kussul, AY Shelestov, M Lavreniuk, O Kussul IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 222 | 2015 |
| Flood hazard and flood risk assessment using a time series of satellite images: A case study in Namibia S Skakun, N Kussul, A Shelestov, O Kussul Risk Analysis 34 (8), 1521-1537, 2014 | 173 | 2014 |
| Efficiency assessment of using satellite data for crop area estimation in Ukraine FJ Gallego, N Kussul, S Skakun, O Kravchenko, A Shelestov, O Kussul International Journal of Applied Earth Observation and Geoinformation 29, 22-30, 2014 | 171 | 2014 |
| Regional scale crop mapping using multi-temporal satellite imagery N Kussul, S Skakun, A Shelestov, M Lavreniuk, B Yailymov, O Kussul The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 132 | 2015 |
| The use of satellite data for agriculture drought risk quantification in Ukraine S Skakun, N Kussul, A Shelestov, O Kussul Geomatics, Natural Hazards and Risk 7 (3), 901-917, 2016 | 124 | 2016 |
| Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine A Kolotii, N Kussul, A Shelestov, S Skakun, B Yailymov, R Basarab, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 113 | 2015 |
| Flood monitoring from SAR data N Kussul, A Shelestov, S Skakun Use of satellite and in-situ data to improve sustainability, 19-29, 2011 | 113 | 2011 |
| Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery N Kussul, L Mykola, A Shelestov, S Skakun European Journal of Remote Sensing 51 (1), 627-636, 2018 | 109 | 2018 |
| Grid system for flood extent extraction from satellite images N Kussul, A Shelestov, S Skakun Earth Science Informatics 1, 105-117, 2008 | 109 | 2008 |
| Cloud approach to automated crop classification using Sentinel-1 imagery A Shelestov, M Lavreniuk, V Vasiliev, L Shumilo, A Kolotii, B Yailymov, ... IEEE Transactions on Big Data 6 (3), 572-582, 2019 | 98 | 2019 |
| The use of satellite SAR imagery to crop classification in Ukraine within JECAM project N Kussul, S Skakun, A Shelestov, O Kussul 2014 IEEE Geoscience and Remote Sensing Symposium, 1497-1500, 2014 | 94 | 2014 |
| Geospatial information system for agricultural monitoring AY Shelestov, AN Kravchenko, SV Skakun, SV Voloshin, NN Kussul Cybernetics and Systems Analysis 49, 124-132, 2013 | 89 | 2013 |
| Grid and sensor web technologies for environmental monitoring N Kussul, A Shelestov, S Skakun Earth Science Informatics 2, 37-51, 2009 | 81 | 2009 |
| Regional retrospective high resolution land cover for Ukraine: Methodology and results M Lavreniuk, N Kussul, S Skakun, A Shelestov, B Yailymov 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 77 | 2015 |
| Deep learning approach for large scale land cover mapping based on remote sensing data fusion N Kussul, A Shelestov, M Lavreniuk, I Butko, S Skakun 2016 IEEE international geoscience and remote sensing symposium (IGARSS …, 2016 | 72 | 2016 |
Nataliia Kussul (Наталія Куссуль)National Technical University of Ukraine "Kyiv Polytechnic Institute"在 lll.kpi.ua 的电子邮件经过验证
