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Mykola Lavreniuk (Микола Лавренюк)
Mykola Lavreniuk (Микола Лавренюк)
Space research institute, National academy of sciences, Kyiv
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
18892017
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
5402017
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
2342015
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
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
1132015
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
1062020
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
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
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
792015
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
742016
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
732017
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, 127-138, 2016
672016
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
582015
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
552015
Satellite data reveal cropland losses in South-Eastern Ukraine under military conflict
S Skakun, CO Justice, N Kussul, A Shelestov, M Lavreniuk
Frontiers in Earth Science 7, 305, 2019
492019
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
442019
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
382019
Deep learning crop classification approach based on sparse coding of time series of satellite data
M Lavreniuk, N Kussul, A Novikov
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
372018
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