| 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 | 1831 | 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 | 523 | 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 | 352 | 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 | 250 | 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 | 233 | 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 | 231 | 2015 |
| Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model S Skakun, B Franch, E Vermote, JC Roger, I Becker-Reshef, C Justice, ... Remote Sensing of Environment 195, 244-258, 2017 | 230 | 2017 |
| 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 | 179 | 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 | 174 | 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 | 134 | 2015 |
| Spatial distribution of arable and abandoned land across former Soviet Union countries M Lesiv, D Schepaschenko, E Moltchanova, R Bun, M Dürauer, ... Scientific data 5 (1), 1-12, 2018 | 133 | 2018 |
| Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity F Waldner, D De Abelleyra, SR Verón, M Zhang, B Wu, D Plotnikov, ... International Journal of Remote Sensing 37 (14), 3196-3231, 2016 | 130 | 2016 |
| 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 | 127 | 2016 |
| Flood Monitoring from SAR Data N Kussul, A Shelestov, S Skakun Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science …, 2011 | 117 | 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 | 114 | 2018 |
| 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 | 114 | 2015 |
| Grid system for flood extent extraction from satellite images N Kussul, A Shelestov, S Skakun Earth Science Informatics 1, 105-117, 2008 | 109 | 2008 |
| A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics G Ghazaryan, O Dubovyk, F Löw, M Lavreniuk, A Kolotii, J Schellberg, ... European Journal of Remote Sensing 51 (1), 511-524, 2018 | 102 | 2018 |
| 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 | 101 | 2019 |
| A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data N Kussul, M Lavreniuk, A Kolotii, S Skakun, O Rakoid, L Shumilo International Journal of Digital Earth, 2020 | 100 | 2020 |
Андрій Шелестов (Andrii Shelestov)National Technical University of Ukraine "Kyiv Polytechnic Institute", Space Research InstituteVerified email at kpi.ua
