Sofiia Drozd| Remote Sensing | Best Researcher Award

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Ms. Sofiia Drozd| Remote Sensing | Best Researcher Award

Master’s student in the Department of Mathematical Modeling and Data Analysis at NTUU KPI, and employee at the Space Research Institute NASU-SSAU. With 4 years of experience in machine learning, remote sensing, and satellite data processing, I have contributed to projects by the World Bank, Horizon Europe, the Ministry of Education and Science of Ukraine, and the National Research Foundation of Ukraine. My expertise includes developing algorithms for environmental monitoring, land use analysis, and renewable energy assessment. I have published research in international journals and presented at various conferences.

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🔬 Research and Innovations:

Completed/Ongoing Research Projects: 8, Citation Index: 3, Journals Published (SCI, Scopus, etc.): 5, Professional Memberships: ACM, EGU, IEEE, Areas of Research:  AI and machine learning, remote sensing, satellite data processing, and GIS.

📜Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

📝Publications Top Notes 

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

Authors: Drozd, S., Kussul, N.

Journal: European Journal of Remote Sensing, 2024

 

Geospatial analysis of the potential of the territories of Ukraine for the location of solar power plants based on satellite data

Authors: Kussul, N.М., Drozd, S.Yu.

Journal: Space Science and Technology, 2024

 

Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning

Authors: Kussul, N., Drozd, S., Yailymova, H., Lemoine, G., Deininger, K.

Journal: International Journal of Applied Earth Observation and Geoinformation, 2023

 

Assessing Ukrainian Territory Suitability for Solar Power Station Placement Using Satellite Data on Climate and Topography

Authors: Kussul, N., Drozd, S.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

 

Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields

Authors: Kussul, N., Drozd, S., Skakun, S., Duncan, E., Becker-Reshef, I.

Conference: 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2023

 

Generative adversarial network augmentation for solving the training data imbalance problem in crop classification

Authors: Shumilo, L., Okhrimenko, A., Kussul, N., Drozd, S., Shkalikov, O.

Journal: Remote Sensing Letters, 2023

 

War Damage Detection Based on Satellite Data

Authors: Shelestov, A., Drozd, S., Mikava, P., Barabash, I., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

 

Forecast of Yield of Major Crops in Ukraine in War Conditions 2022 Based on MODIS and Sentinel-2 Satellite Data

Authors: Kussul, N., Drozd, S., Yailymova, H.

Conference: International Conference on Applied Innovation in IT, 2023

 

Mathematical Models and Informational Technologies of Crop Yield Forecasting in Cloud Environment

Authors: Shumilo, L., Drozd, S., Kussul, N., Shelestov, A., Sylantyev, S.

Book Series: Lecture Notes in Networks and Systems, 2023

 

Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data

Authors: Kussul, N., Yailymova, H., Drozd, S.

Conference: 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), 2022