2024 |
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Publications |
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. |
2024 |
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Publications |
Shumilo, L., & Skakun, S. (2024). Optical Flow of Temperature Reveals Climate Change Patterns for Agriculture and Forestry. Remote Sensing Applications: Society and Environment, 101198. https://doi.org/10.1016/j.rsase.2024.101198. |
2024 |
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Publications |
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, 101097. |
2024 |
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Publications |
He, E., Xie, Y., Chen, W., Skakun, S., Bao, H., Ghosh, R., ... & Jia, X. (2024). Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Transactions on Knowledge and Data Engineering, https://doi.org/10.1109/TKDE.2024.3371460. |
2023 |
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Publications |
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, 113412. https://doi.org/10.1016/j.rse.2022.113412 |
2023 |
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Publications |
Shumilo, L., Skakun, S., Gore, M. L., Shelestov, A., Kussul, N., Hurtt, G., & Yarotskiy, V. (2023). Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war. Communications Earth & Environment, 4(1), 443. |
2023 |
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Publications |
Xie, Y., Li, Z., Bao, H., Jia, X., Xu, D., Zhou, X., & Skakun, S. (2023, June). Auto-CM: Unsupervised deep learning for satellite imagery composition and cloud masking using spatio-temporal dynamics. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 12, pp. 14575-14583). |
2023 |
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Publications |
A. Qadir, S. Skakun, J. Eun, M. Prashnani, L. Shumilo, Sentinel-1 time series data for sunflower (Helianthus annuus) phenology monitoring, Remote Sensing of Environment, Volume 295, 2023, 113689, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2023.113689. |
2023 |
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Publications |
Li, Z., Xie, Y., Jia, X., Stuart, K., Delaire, C., & Skakun, S. (2023, June). Point-to-region co-learning for poverty mapping at high resolution using satellite imagery. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 12, pp. 14321-14328). |
2023 |
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Publications |
Erik C. Duncan, Sergii Skakun, Ankit Kariryaa, Alexander V. Prishchepov, Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning, Science of Remote Sensing, Volume 7, 2023, 100092, ISSN 2666-0172, https://doi.org/10.1016/j.srs.2023.100092. |
2022 |
Sergii Skakun |
Publications |
Abys, C. J., Skakun, S., & Becker-Reshef, I. (2022). The Rise and Volatility of Russian Winter Wheat Production. Environmental Research Communications, 4, art. num. 101003. https://doi.org/10.1088/2515-7620/ac97d2 |
2022 |
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Publications |
Kerner, H. R., Sahajpal, R., Pai, D. B., Skakun, S., Puricelli, E., Hosseini, M., ... & Becker-Reshef, I. (2022). Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt. Science of Remote Sensing, 6, art. num. 100059. https://doi.org/10.1016/j.srs.2022.100059 |
2022 |
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Publications |
Prudente, V.H.R., Skakun, S., Oldoni, L.V., Xaud, H.A., Xaud, M.R., Adami, M., & Sanches, I.D.A. (2022). Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, 189, 95–109. https://doi.org/10.1016/j.isprsjprs.2022.04.025 |
2022 |
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Publications |
Xie, Y., He, E., Jia, X., Chen, W., Skakun, S., Bao, H., Jiang, Z., Ghosh, R., & Ravirathinam, P. (2022). Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework. Proc. of The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI’22), vol. 36, no. 11, pp. 12208-12216. |
2022 |
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Publications |
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 |
2022 |
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Publications |
Zhang, Y.*, Skakun, S., Adegbenro, M.O., & Ying, Q. (2022). Leveraging the use of labeled benchmark datasets for urban area change mapping and area estimation: a case study of the Washington DC–Baltimore region. International Journal of Digital Earth, 15(1), 1169-1186. https://doi.org/10.1080/17538947.2022.2094001 |
2022 |
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Publications |
Eun, J., & Skakun, S. (2022). Characterizing land use with night-time imagery: the war in Eastern Ukraine (2012-2016), Environmental Research Letters, 17, art. num. 095006. https://doi.org/10.1088/1748-9326/ac8b23 |