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Mykola Lavreniuk (Микола Лавренюк)
Mykola Lavreniuk (Микола Лавренюк)
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
12322017
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
3502017
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
1982015
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
1932016
REGIONAL SCALE CROP MAPPING USING MULTI-TEMPORAL SATELLITE IMAGERY.
N Kussul, S Skakun, A Shelestov, M Lavreniuk, B Yailymov, O Kussul
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2015
1192015
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
1142016
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
942015
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
722015
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
672018
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
642016
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, 2019
612019
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
542019
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
522016
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
502015
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
422015
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
402017
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
312017
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
282019
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
272019
Land degradation estimation from global and national satellite based datasets within UN program
N Kussul, A Kolotii, A Shelestov, B Yailymov, M Lavreniuk
2017 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017
242017
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