Follow
Nataliia Kussul (Наталія Куссуль)
Nataliia Kussul (Наталія Куссуль)
Verified email at umd.edu
Title
Cited by
Cited by
Year
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
18802017
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
5362017
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
3632019
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
2512013
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
2382017
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
2352016
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
2322015
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
1872014
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
1752014
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
1382018
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
1342015
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
1312016
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
1312016
Flood Monitoring from SAR Data
N Kussul, A Shelestov, S Skakun
Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science …, 2011
1202011
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
1142018
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
1142015
Grid system for flood extent extraction from satellite images
N Kussul, A Shelestov, S Skakun
Earth Science Informatics 1, 105-117, 2008
1102008
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
1052020
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
1032018
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
1022019
The system can't perform the operation now. Try again later.
Articles 1–20