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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
16832017
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
4932017
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
2212016
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
2202015
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
1302015
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
1282016
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
1122015
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
962019
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
952019
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
932018
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
762015
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
682017
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
682016
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
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
542015
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
532015
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
422019
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
372019
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
352019
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
322017
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