| 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 | 1944 | 2017 |
| The Harmonized Landsat and Sentinel-2 surface reflectance data set M Claverie, J Ju, JG Masek, JL Dungan, EF Vermote, JC Roger, ... Remote sensing of environment 219, 145-161, 2018 | 1147 | 2018 |
| 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, 17, 2017 | 560 | 2017 |
| Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences HK Zhang, DP Roy, L Yan, Z Li, H Huang, E Vermote, S Skakun, ... Remote sensing of environment 215, 482-494, 2018 | 368 | 2018 |
| 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 | 257 | 2013 |
| 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 | 245 | 2017 |
| 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 | 238 | 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 …, 2016 | 236 | 2016 |
| 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 | 191 | 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 | 181 | 2014 |
| Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2 S Skakun, J Wevers, C Brockmann, G Doxani, M Aleksandrov, M Batič, ... Remote Sensing of Environment 274, 112990, 2022 | 173 | 2022 |
| 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 | 137 | 2015 |
| 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 | 134 | 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 | 134 | 2016 |
| Flood monitoring from SAR data N Kussul, A Shelestov, S Skakun Use of satellite and in-situ data to improve sustainability, 19-29, 2010 | 122 | 2010 |
| Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring S Skakun, CO Justice, E Vermote, JC Roger International Journal of Remote Sensing 39 (4), 971-992, 2018 | 119 | 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 | 117 | 2015 |
| 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 | 116 | 2018 |
| Grid system for flood extent extraction from satellite images N Kussul, A Shelestov, S Skakun Earth Science Informatics 1, 105-117, 2008 | 114 | 2008 |
| Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale S Skakun, E Vermote, JC Roger, B Franch AIMS Geosciences 3 (2), 163–186, 2017 | 110 | 2017 |
Nataliia Kussul (Наталія Куссуль)University of MarylandEmail verificata su umd.edu