Mykola Lavreniuk ( )
Mykola Lavreniuk ( )
Space research institute, National academy of sciences, Kiev
Verified email at ikd.kiev.ua
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
5642017
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
1522017
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
1462015
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
1172016
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 Photogrammetry, Remote Sensing and Spatial, 2015
972015
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
722016
COMPARISON OF BIOPHYSICAL AND SATELLITE PREDICTORS FOR WHEAT YIELD FORECASTING IN UKRAINE.
A Kolotii, N Kussul, A Shelestov, S Skakun, B Yailymov, R Basarab, ...
International Archives of the Photogrammetry, Remote Sensing & Spatial, 2015
672015
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
652015
Large-scale classification of land cover using retrospective satellite data
MS Lavreniuk, SV Skakun, AJ Shelestov, BY Yalimov, SL Yanchevskii, ...
Cybernetics and Systems Analysis 52 (1), 127-138, 2016
552016
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems.
N Kussul, A Shelestov, R Basarab, S Skakun, O Kussul, M Lavrenyuk
ICTERI 1356, 196-203, 2015
382015
Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences
N Kussul, G Lemoine, J Gallego, S Skakun, M Lavreniuk
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS, 2015
342015
Impact of SAR data filtering on crop classification accuracy
M Lavreniuk, N Kussul, M Meretsky, V Lukin, S Abramov, O Rubel
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering, 2017
232017
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
222018
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
222016
Mapping of biophysical parameters based on high resolution EO imagery for JECAM test site in Ukraine
A Shelestov, A Kolotii, F Camacho, S Skakun, O Kussul, M Lavreniuk, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS, 2015
192015
Large scale crop classification using Google earth engine platform
A Shelestov, M Lavreniuk, N Kussul, A Novikov, S Skakun
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS, 2017
172017
Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers
N Kussul, M Lavreniuk, A Shelestov, B Yailymov
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS, 2016
172016
Conflation of expert and crowd reference data to validate global binary thematic maps
F Waldner, A Schucknecht, M Lesiv, J Gallego, L See, A Pérez-Hoyos, ...
Remote sensing of environment 221, 235-246, 2019
142019
, , , , , ...
, 157-166, 2014
122014
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed
F Waldner, N Bellemans, Z Hochman, T Newby, D de Abelleyra, ...
International Journal of Applied Earth Observation and Geoinformation 80, 82-93, 2019
112019
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