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 Submitted by meghavi on Thu, 12/22/2022 - 17:41 Read more about 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
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. Submitted by meghavi on Thu, 12/22/2022 - 17:40 Read more about 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.
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 Submitted by meghavi on Thu, 12/22/2022 - 17:39 Read more about 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
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 Submitted by meghavi on Thu, 12/22/2022 - 17:37 Read more about 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
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 Submitted by meghavi on Thu, 12/22/2022 - 17:36 Read more about 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
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 Submitted by meghavi on Thu, 12/22/2022 - 17:35 Read more about 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
Skakun, S., Wevers, J., Brockmann, C., Doxani, Submitted by meghavi on Thu, 12/22/2022 - 17:32 Read more about Skakun, S., Wevers, J., Brockmann, C., Doxani,
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