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ORCIDLeonid Shumilo
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2020 – today
- 2023
[c25]Artem Shelestov, Leonid Shumilo:
Generative Adversarial Network Style Transfer for Sustainable Urban Restoration Planning in Ukraine. DESSERT 2023: 1-5- [c24]Bohdan Yailymov, Hanna Yailymova, Andrii Shelestov, Leonid Shumilo:
Monitoring of Fires Caused by War in Ukraine Based on Satellite Data. DESSERT 2023: 1-5 - [c23]Leonid Shumilo, Sergii Skakun
:
Climate-Analog Velocity Estimation using Optical Flow Approach. IGARSS 2023: 2418-2421 - [c22]Hanna Yailymova, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov, Leonid Shumilo:
Geospatial Monitoring of Sustainable and Degraded Agricultural Land. IGARSS 2023: 2446-2449 - [c21]Mykola Lavreniuk, Leonid Shumilo, Alla Lavreniuk:
Generative Adversarial Networks for the Satellite Data Super Resolution Based on the Transformers with Attention. IGARSS 2023: 6294-6297 - 2022
- [c20]Sergii Skakun, Christian Abys, Michael Oluwatosin Adegbenro, Inbal Becker-Reshef, Erik Duncan, Jaemin Eun, Joanne Hall, Abdul Qadir, Leonid Shumilo, Yiming Zhang, Nataliia Kussul, Andrii Shelestov, Alexander V. Prishchepov:
High-Impact Hot Spots of Land Cover Land Use Change in Ukraine. DESSERT 2022: 1-5 - [c19]Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Alla Lavrenyuk, Leonid Shumilo:
Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks. IGARSS 2022: 1095-1098 - [c18]Nataliia Kussul, Andrii Shelestov, Hanna Yailymova, Leonid Shumilo, Sophia Drozd:
Agriculture Land Appraisal with Use of Remote Sensing and Infrastructure Data. IGARSS 2022: 2785-2788 - 2021
- [c17]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Oleg Samoilenko, Leonid Shumilo:
Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv. EUROCON 2021: 88-91 - [c16]Leonid Shumilo, Andrii Shelestov, Bohdan Yailymov, Anton Brazhnyi, Yuliia Bilokonska:
Remote Sensing Data usage for Smart City Greening Strategy Planning. EUROCON 2021: 92-97 - [c15]Andrii Shelestov, Leonid Shumilo, Yuliia Bilokonska, Alla Lavreniuk:
The Land Degradation Estimation Remote Sensing Methods Using RUE-adjusted NDVI. EUROCON 2021: 103-106 - [c14]Leonid Shumilo, Mykola Lavreniuk, Nataliia Kussul, Bella Shevchuk:
Automatic Deforestation Detection based on the Deep Learning in Ukraine. IDAACS 2021: 337-342 - [c13]Nataliia Kussul, Leonid Shumilo, Loukas Garanis:
Relationships Between Land Degradation and Climate Change Vulnerability of Agricultural Water Resources. IGARSS 2021: 747-750 - [c12]Leonid Shumilo, Nataliia Kussul, Mykola Lavreniuk:
U-Net Model for Logging Detection Based on the Sentinel-1 and Sentinel-2 Data. IGARSS 2021: 4680-4683 - [c11]Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, Leonid Shumilo, Mykola Lavreniuk:
Extension of Copernicus Urban Atlas to Non-European Countries. IGARSS 2021: 6789-6792 - 2020
- [j4]Andrii Shelestov, Andrii Kolotii, Tatiana Borisova, Olena Turos, Gennadi Milinevsky, Igor Gomilko, Tatyana Bulanay, Oleg Fedorov, Leonid Shumilo, Liudmyla Pidgorodetska, Liudmyla Kolos, Arsenii Borysov, Natalia Pozdnyakova, Alexander Yu. Chunikhin, Marina Dudarenko, Arina Petrosian, Vassyl Danylevsky, Natalia Miatselskaya, Vasyl Choliy:
Essential variables for air quality estimation. Int. J. Digit. Earth 13(2): 278-298 (2020) - [j3]Ian McCallum, Carsten Montzka, Bagher Bayat, Stefan Kollet, Andrii Kolotii, Nataliia Kussul, Mykola Lavreniuk, Anthony Lehmann, Joan Masó, Paolo Mazzetti, Aline Mosnier, Emma Perracchione, Mario Putti, Mattia Santoro, Ivette Serral, Leonid Shumilo, Daniel Spengler, Steffen Fritz:
Developing food, water and energy nexus workflows. Int. J. Digit. Earth 13(2): 299-308 (2020) - [j2]Nataliia Kussul, Mykola Lavreniuk, Andrii Kolotii, Sergii Skakun, Olena Rakoid, Leonid Shumilo:
A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data. Int. J. Digit. Earth 13(2): 309-321 (2020) - [j1]Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, Leonid Shumilo, Andrii Kolotii, Bohdan Yailymov, Nataliia Kussul, Hanna Yailymova:
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. IEEE Trans. Big Data 6(3): 572-582 (2020) - [c10]Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Mykola Lavreniuk, Leonid Shumilo, Yuliia Bilokonska:
Crop monitoring technology based on time series of satellite imagery. DESSERT 2020: 346-350 - [c9]Yuliia Bilokonska, Hanna Yailymova, Bohdan Yailymov, Andrii Shelestov, Leonid Shumilo, Mykola Lavreniuk:
Losses Assessment for Winter Crops Based on Satellite Data and Fuzzy Logic. IDAACS-SWS 2020: 1-5 - [c8]Leonid Shumilo:
Automatic Anomaly Detection Methodology for Crop Classification Data Using Morphological Features. IDAACS-SWS 2020: 1-5 - [c7]Leonid Shumilo, Bohdan Yailymov, Mykola Lavreniuk, Yuliia Bilokonska:
Remote Sensing Approaches for Deforestation Identification in Ukraine. IDAACS-SWS 2020: 1-4 - [c6]Leonid Shumilo, Bohdan Yailymov, Andrii Shelestov:
Active Fire Monitoring Service for Ukraine Based on Satellite Data. IGARSS 2020: 2913-2916 - [c5]Andrii Shelestov, Nataliia Kussul, Bohdan Yailymov, Leonid Shumilo, Yuliia Bilokonska:
Assessment of Land Consumption for SDG Indicator 11.3.1 Using Global and Local Built-Up Area Maps. IGARSS 2020: 4971-4974 - [c4]Nataliia Kussul, Mykola Lavreniuk, Leonid Shumilo:
Deep Recurrent Neural Network for Crop Classification Task Based on Sentinel-1 and Sentinel-2 Imagery. IGARSS 2020: 6914-6917
2010 – 2019
- 2019
- [c3]Leonid Shumilo, Nataliia Kussul, Andrii Shelestov, Yuliia Korsunska, Bohdan Yailymov:
Sentinel-3 Urban Heat Island Monitoring and analysis for Kyiv Based on Vector Data. DESSERT 2019: 131-135 - [c2]Nataliia Kussul, Mykola Lavreniuk, Leonid Shumilo, Andrii Kolotii:
Nexus Approach for Calculating SDG Indicator 2.4.1 Using Remote Sensing and Biophysical Modeling. IGARSS 2019: 6425-6428 - 2018
- [c1]Leonid Shumilo, Andrii Kolotii, Mykola Lavreniuk, Bohdan Yailymov:
Use of Land Cover Maps as Indicators for Achieving Sustainable Development Goals. IGARSS 2018: 830-833
Coauthor Index
aka: Mykola Lavreniuk
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