Dr. Sergii Skakun is an Associate Professor with a joint appointment at the Department of Geographical Sciences and the College of Information Studies (iSchool). He joined UMD in October 2015. From 2013 to 2015, he was a Senior Engineer at Samsung SDI (South Korea), where he was responsible for developing industrial vision inspection systems. From 2006 to 2013, he has held multiple positions (latest Senior Scientist) at the Space Research Institute (Ukraine), where he was performing research in remote sensing. He received PhD in Computer Science from National Academy of Sciences of Ukraine in 2005.
Dr. Skakun has participated as a PI or Co-I in projects funded by NASA, NSF, Google, European Commission (EC), EC Joint Research Center (JRC), U.S. Civilian Research & Development Foundation (CRDF), National Academy of Sciences of Ukraine, State Space Agency of Ukraine and Science & Technology Center in Ukraine (STCU).
He is a two-time recipient as a PI of the Future Investigators in NASA Earth and Space Science and Technology (FINESST) grants "Agriculture Velocity of Winter Wheat" (2022-2025, Leonid Shumilo) and "Climate induced agriculture change hotspots and its implication to global food security in the former Soviet Union (Russia and Ukraine)" (2021-2024, Abdul Qadir).
His recent projects include "Artillery Craters and Unexploded Ordnance Mapping in Ukraine using High Resolution Satellite Imagery" (NASA, 2023-2024), "High-Impact Hot Spots of Land Cover Land Use Change: Ukraine and Neighboring Countries" (NASA, 2021-2023), "FAI: Advancing Deep Learning Towards Spatial Fairness" (NSF, 2022-2025) and "Maintenance and refinement of the Suomi NPP and NOAA-20 VIIRS Land Surface Reflectance product suite" (NASA, 2021-2024). He is currently a Co-I on two NASA Agricultural Programs: Harvest and Acres.
Within Committee on Earth Observation Satellites (CEOS), he is co-leading a Cloud Masking Inter-comparison Exercise (CMIX, https://calvalportal.ceos.org/cmix). He is currently an Associate Editor for the journal Remote Sensing of Environment. As of now, he authored or co-authored >70 papers in peer-reviewed journals, 3 books (in Ukrainian/Russian), and 6 chapters in edited books.
His current research focus is to advance methods, models and emerging technologies in the area of data science for heterogeneous remote sensing data fusion, processing and analysis, and their applications to Earth System Science and areas of societal benefit.
Recent papers:
- Kalecinski, N. I., Skakun, S., Torbick, N., Huang, X., Franch, B., Roger, J. C., & Vermote, E. (2024). Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data. Science of Remote Sensing, 10, 100153. https://doi.org/10.1016/j.srs.2024.100153
- Qadir, A., Skakun, S., Becker-Reshef, I., Kussul, N., & Shelestov, A. (2024). Estimation of sunflower planted areas in Ukraine during full-scale Russian invasion: Insights from Sentinel-1 SAR data. Science of Remote Sensing, 10, 100139. https://doi.org/10.1016/j.srs.2024.100139
- Qadir, A., Skakun, S., Kussul, N., Shelestov, A., & Becker-Reshef, I. (2024). A generalized model for mapping sunflower areas using Sentinel-1 SAR data. Remote Sensing of Environment, 306, 114132. https://doi.org/10.1016/j.rse.2024.114132
- Shumilo, L., & Skakun, S. (2024). Optical flow of temperature reveals climate change patterns for agriculture and forestry. Remote Sensing Applications: Society and Environment, 34, 101198. https://doi.org/10.1016/j.rsase.2024.101198
- Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., Karabchuk, D., Yarotskiy, V. (2023). Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Environment, 4, art. num. 443. https://doi.org/10.1038/s43247-023-01099-4
- Abys, C., Skakun, S., & Becker-Reshef, I. (2024). Two decades of winter wheat expansion and intensification in Russia. Remote Sensing Applications: Society and Environment, 33, art. num. 101097. https://doi.org/10.1016/j.rsase.2023.101097
- Qadir, A., Skakun, S., Eun, J., Prashnani, M., Shumilo, L. (2023). Sentinel-1 time series data for sunflower (Helianthus annuus) phenology monitoring. Remote Sensing of Environment, 295, art. num. 113689. https://doi.org/10.1016/j.rse.2023.113689
- Duncan, E. C., Skakun, S., Kariryaa, A., & Prishchepov, A. V. (2023). Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning. Science of Remote Sensing, 7, art. num. 100092. https://doi.org/10.1016/j.srs.2023.100092
- Doxani, G., Vermote, E. F., Roger, J. C., Skakun, S., Gascon, F., Collison, A., ... & Yin, F. (2023). Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land. Remote Sensing of Environment, 285, art. num. 113412. https://doi.org/10.1016/j.rse.2022.113412
- Skakun, S., Wevers, J., Brockmann, C., Doxani, G., Aleksandrov, M., Batič, M., Frantz, D., Gascon, F., Gómez-Chova, L., Hagolle, O., López-Puigdollers, D., Louis, J., Lubej, M., Mateo-García, G., Osman, J., Peressutti, D., Pflug, B., Puc, J., Richter, R., Roger, J.-C., Scaramuzza, P., Vermote, E., Vesel, N., Zupanc, A., Žust, L. (2022). Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2. Remote Sensing of Environment, 274, art. num. 112990. https://doi.org/10.1016/j.rse.2022.112990
He is teaching the following courses:
- GEOG156 / INST156 “How NASA Sees the Earth” (GenEd course),
- GEOG371 “Programming for Image Analysis”,
- GEOG272/GEOG372 "Remote Sensing".
As part of the NASA Harvest team, results of his research on the impact of the war in Ukraine on agriculture was featured in the mass media:
- Maryland Today: "Unexploded Ordnance Is Scattered Across Ukraine’s Front Lines. UMD Researchers Are Mapping Hot Spots With AI.", https://today.umd.edu/unexploded-ordnance-is-scattered-across-ukraines-front-lines-umd-researchers-are-mapping-hot-spots-with-ai
- Bloomberg: “Russia Reaped $1 Billion of Wheat in Occupied Ukraine, NASA Says”, https://www.bloomberg.com/news/articles/2022-12-03/russia-reaped-1-billion-of-wheat-in-occupied-ukraine-nasa-says
- NASA Earth Observatory: “Larger Wheat Harvest in Ukraine Than Expected”, https://earthobservatory.nasa.gov/images/150590/larger-wheat-harvest-in-ukraine-than-expected
- New York Times: “Russia now occupies roughly 22 percent of Ukraine’s farmland, according to a NASA analysis”, https://www.nytimes.com/live/2022/07/07/world/russia-ukraine-war-news/russia-now-occupies-roughly-22-percent-of-ukraines-farmland-according-to-a-nasa-analysis?smid=url-share
- NASA Earth Observatory: “Measuring War’s Effect on a Global Breadbasket”, https://earthobservatory.nasa.gov/images/150025/measuring-wars-effect-on-a-global-breadbasket
- NASA Earth Observatory: “Tracking Night Lights in Ukraine”, https://earthobservatory.nasa.gov/images/150002/tracking-night-lights-in-ukraine
- Maryland Today: “Russian Attack on Ukraine Also Targeted Global Food Supply”, https://today.umd.edu/russian-attack-on-ukraine-also-targeted-global-food-supply
Areas of Interest
- Remote sensing
- Agricultural monitoring
- Machine learning in remote sensing
- Disaster monitoring and risk assessment
Degrees
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Degree TypePhDDegree DetailsComputer Science, Space Research Institute NASU-SSAU (Ukraine), 2005
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Degree TypeMSDegree DetailsApplied Mathematics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, 2004
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Degree TypeBSDegree DetailsApplied Mathematics, National Technical University of Ukraine “Kyiv Polytechnic Institute”, 2002
Course Name | Course Title | Semester | Syllabus |
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GEOG271 | Introduction to Earth Observation Science | Spring 2018 | Syllabus |
Ongoing projects (PI or UMD PI):
2023-2024 | PI for the NASA Rapid Response project “Artillery Craters and Unexploded Ordnance Mapping in Ukraine using High Resolution Satellite Imagery” |
2022 – 2025 | PI for the NASA project “Agriculture Velocity of Winter Wheat” within Future Investigators in NASA Earth and Space Science and Technology (FINESST). FI: Leonid Shumilo (graduate student) |
2022 – 2025 | Co-PI for the NSF project “FAI: Advancing Deep Learning Towards Spatial Fairness” (NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon). PI: X. Jia (University of Pittsburgh), Co-PI: Y. Xie (UMD) |
2021-2024 | UMD PI for the NASA project “Maintenance and refinement of the Suomi NPP and NOAA-20 VIIRS Land Surface Reflectance product suite”. PI: E. Vermote (NASA/GSFC) |
2021 – 2024 | PI the NASA project “Climate induced agriculture change hotspots and its implication to global food security in the former Soviet Union (Russia and Ukraine)” within Future Investigators in NASA Earth and Space Science and Technology (FINESST) FI: Abdul Qadir (graduate student) |
2021 – 2023 |
PI for the NASA project “High-Impact Hot Spots of Land Cover Land Use Change: Ukraine and Neighboring Countries” |
Completed projects:
2019 – 2022 |
UMD PI for the NASA project “Integration of L-band, C-band, and optical observations for agricultural monitoring” |
2021 – 2022 | UMD PI for the IARPA/NGA project “WATCH: Wide Area Terrestrial Change Hypercube” PI: M. Leotta (Kitware) |
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ProfessionalAssociate Editor, journal Remote Sensing of Environment
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ProfessionalEditorial Board Member, section “Remote Sensing Image Processing”, journal Remote Sensing
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InternationalTask Coordinator of the Cloud Masking Inter-comparison eXercise (CMIX) within CEOS WGCV
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CampusRemote Sensing Teaching Team Lead
Current Students
Former Students
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Andres Eduardo Santamaria ArtigasPostDoc at UMD
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José Luis VillaescusaEUMETSAT
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Gasmine Myers
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Meredith BrownPostDoc at Sandia National Laboratories
Related Students (Listed by Student on Student's Profile)
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Christian Abys
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Katherine Melocik
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Leonid Shumilo
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Margaret Wooten
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Yiming Zhang