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Андрій Юрійович Шелестов

Observed names: A Shelestov, A. Ju. Shelestov, A. Shelestov, A. Yu. Shelestov, A.Yu. SHELESTOV, A.Yu. Shelestov, Andrey Yu. Shelestov, Andrii Shelestov, Andrii Yu. Shelestov, Andriy Shelestov, Shelestov, Andrii, А.Ю. Шелестов, Андрій Шелестов, Шелестов, А.Ю., Шелестов, Андрiй Юрiйович, Шелестов, Андрій Юрійович
Observed institutions: State Space Agency of Ukraine, National Academy of Sciences of Ukraine, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, National University of Life and Environmental Sciences of Ukraine, Space Research Institute, Space Research Institute
ORCID: 0000-0001-9256-4097
Observed ORCID: 0000-0001-9256-4097
OpenAlex ID: A5019694508
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
2017 · Nataliia Kussul, Mykola Lavreniuk, et al. · IEEE Geoscience and Remote Sensing Letters · 1,786
Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping
2017 · Andrii Shelestov, Mykola Lavreniuk, et al. · Frontiers in Earth Science · 449
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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
2018 · Pierre Defourny, Sophie Bontemps, et al. · Remote Sensing of Environment · 423
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Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data
2016 · Nataliia Kussul, Guido Lemoine, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 209
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models
2013 · Felix Kogan, Nataliia Kussul, et al. · International Journal of Applied Earth Observation and Geoinformation · 195
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine
2015 · Sergii Skakun, Nataliia Kussul, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 174
Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia
2013 · Sergii Skakun, Nataliia Kussul, et al. · Risk Analysis · 131
Efficiency assessment of using satellite data for crop area estimation in Ukraine
2014 · Francisco Javier Gallego, Nataliia Kussul, et al. · International Journal of Applied Earth Observation and Geoinformation · 113
The use of satellite data for agriculture drought risk quantification in Ukraine
2015 · Sergii Skakun, Nataliia Kussul, et al. · Geomatics Natural Hazards and Risk · 103
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Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
2019 · Andrii Shelestov, Mykola Lavreniuk, et al. · IEEE Transactions on Big Data · 92
Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery
2018 · Nataliia Kussul, Lavreniuk Mykola, et al. · European Journal of Remote Sensing · 90
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Regional scale crop mapping using multi-temporal satellite imagery
2015 · N. Kussul, S. Skakun, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 83
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Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
2023 · Klaus Deininger, Daniel Ayalew Ali, et al. · Food Policy · 77
Flood Monitoring from SAR Data
2010 · Nataliia Kussul, Andrii Shelestov, et al. · NATO science for peace and security series. C, Environmental security · 71
Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine
2015 · A. Kolotii, N. Kussul, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 69
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Grid system for flood extent extraction from satellite images
2008 · Nataliia Kussul, Andrii Shelestov, et al. · Earth Science Informatics · 64
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Large scale crop classification using Google earth engine platform
2017 · Andrii Shelestov, Mykola Lavreniuk, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 62
Satellite Data Reveal Cropland Losses in South-Eastern Ukraine Under Military Conflict
2019 · Sergii Skakun, Christopher O. Justice, et al. · Frontiers in Earth Science · 56
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Deep learning approach for large scale land cover mapping based on remote sensing data fusion
2016 · Nataliia Kussul, Andrii Shelestov, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 54
Grid and sensor web technologies for environmental monitoring
2009 · Nataliia Kussul, Andrii Shelestov, et al. · Earth Science Informatics · 50
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A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index
2021 · Mehdi Hosseini, Heather McNairn, et al. · Remote Sensing · 49
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Geospatial information system for agricultural monitoring
2013 · A. Yu. Shelestov, A. N. Kravchenko, et al. · Cybernetics and Systems Analysis · 49
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project
2014 · Nataliia Kussul, Sergii Skakun, et al. · 48
Large-Scale Classification of Land Cover Using Retrospective Satellite Data
2016 · M. S. Lavreniuk, S. V. Skakun, et al. · Cybernetics and Systems Analysis · 46
Efficiency Assessment of Different Approaches to Crop Classification Based on Satellite and Ground Observations
2012 · Javier Gallego, Alexey N. Kravchenko, et al. · Journal of Automation and Information Sciences · 43
Works count: 270
Citation count: 5,981
H-index: 35
I10-index: 73
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