Stebėti
Nataliia Kussul (Наталія Куссуль)
Nataliia Kussul (Наталія Куссуль)
University of Maryland
Patvirtintas el. paštas umd.edu
Pavadinimas
Cituota
Cituota
Metai
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
19492017
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
5622017
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
3792019
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
2572013
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
2452017
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
2382016
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
2362015
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
1912014
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
1822014
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
1462018
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
1372015
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
1342016
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
1342016
Flood Monitoring from SAR Data
N Kussul, A Shelestov, S Skakun
Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science …, 2011
1222011
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
1182015
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
1172018
Grid system for flood extent extraction from satellite images
N Kussul, A Shelestov, S Skakun
Earth Science Informatics 1, 105-117, 2008
1142008
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
1112019
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
1082020
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
1042018
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