High-Impact Hot Spots of Land Cover Land Use Change: Ukraine and Neighboring Countries

Start Date: 
01/01/2021
End Date: 
12/31/2023
Grant Number: 
80NSSC21K0314
Solicitation: 

Project Documents

Year Authors Type Title
2024 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.
2023 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 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.
2023 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 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 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 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.
2022 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
2022 Sergii Skakun
Inbal Becker-Reshef
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 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 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 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 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 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