Graduate Student Publications Breadcrumb Home Graduate Graduate Student Publications Graduate Prospective Ph.D. Students Graduate Student Publications Graduate Student Awards Graduate Students Master of Science and Graduate Certificate Programs Abys, Christian Abys, C., Skakun, S., & Becker-Reshef, I. (2022). The Rise and Volatility of Russian Winter Wheat Production. Environmental Research Communications, 4(10), art. num. 101003.Abys, Christian Bredder, Allison Mullen, A. L., Watts, J. D., Rogers, B. M., Carroll, M. L., Elder, C. D., Noomah, J., ... & Kyzivat, E. D. (2023). Using High‐Resolution Satellite Imagery and Deep Learning to Track Dynamic Seasonality in Small Water Bodies.Bredder, Allison Bruening, Jamis Duncanson et al. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. Bruening, Jamis Bruening et al. Challenges to aboveground biomass prediction from waveform lidar. (2021) Environ. Res. Lett. 16 125013 Bruening, Jamis Bunn, A. G., Salzer, M. W., Anchukaitis, K. J., Bruening, J. M., & Hughes, M. K. (2018). Spatiotemporal variability in the climate growth response of high elevation bristlecone pine in the White Mountains of California. Geophysical Research Letters. Bruening, Jamis Bruening, J. M., Bunn, A. G., & Salzer, M. W. (2018). A climate‐driven tree line position model in the White Mountains of California over the past six millennia. Journal of Biogeography, 45(5), 1067-1076. Bruening, Jamis Tran, T. J., Bruening, J. M., Bunn, A. G., Salzer, M. W., & Weiss, S. B. (2017). Cluster analysis and topoclimate modeling to examine bristlecone pine tree-ring growth signals in the Great Basin, USA. Environmental Research Letters, 12(1), 014007. Bruening, Jamis Bruening, J. M., Tran, T. J., Bunn, A. G., Weiss, S. B., & Salzer, M. W. (2017). Fine-scale modeling of bristlecone pine treeline position in the Great Basin, USA. Environmental Research Letters, 12(1), 014008. Bruening, Jamis Caraballo-Vega, Jordan A. Mullen, A. L., Watts, J. D., Rogers, B. M., Carroll, M. L., Elder, C. D., Noomah, J., ... & Kyzivat, E. D. (2023). Using High‐Resolution Satellite Imagery and Deep Learning to Track Dynamic Seasonality in Small Water Bodies. Caraballo-Vega, Jordan A. Caraballo-Vega, J. A., Carroll, M. L., Neigh, C. S. R., Wooten, M., Lee, B., Weis, A., ... & Williams, Z. (2023). Optimizing WorldView-2,-3 cloud masking using machine learning approaches. Remote Sensing of Environment, 284, 113332. Caraballo-Vega, Jordan A. Chen, Xiangjie Wang, S., X. Chen, R. Xie, et al. 2024. Demand-side insights for steering human appropriation of net primary productivity within planetary boundaries, One Earth. (2022 IF 16.2). Vol. 7. https://doi.org/10.1016/j.oneear.2024.02.010 Chen, Xiangjie Tian, P., K. Feng, H. Zheng, K. Hubacek, J. Li, H. Zhong, X. Chen, L. Sun*. 2023. Implementation of carbon pricing in an aging world calls for targeted protection schemes. Proceedings of the National Academy of Sciences of the USA (PNAS) Nexus. 2 (7), Chen, Xiangjie Dyer, Noel Gao, C., Na, H., Song, K., Dyer, N., Tian, F., Xu, Q., Xing, Y. (2019). Environmental impact analysis of power generation from biomass and wind farms in different locations. Renewable and Sustainable Energy Reviews, 103(307-317).Dyer, Noel Gao, (Eric) Xueyuan X. Gao, S. Liang, D. Wang, Y. Li, B. He, A. Jia. (2022). Exploration of a novel geoengineering solution: lighting up tropical forests at night, Earth System Dynamics, https://doi.org/10.5194/esd-13-219-2022 Gao, (Eric) Xueyuan Gao, X., Liang, S., Sauer, J. (2020). Greening hiatus in Eurasian boreal forests since 1997 caused by a wetting and cooling summer climate, Journal of Geophysical Research-Biogeosciences Gao, (Eric) Xueyuan Gao, X., Dong, W., Tong, Y., Cui, D.(2016). Study on the influence of field cognitive style, gender and spatial terminology on geographical spatial orientation ability: based on experiments in virtual space, Journal of Geo-information Science Gao, (Eric) Xueyuan Gao, X., Liang, S., He, B. (2019). Detected global agricultural greening from satellite data, Agricultural and Forest Meteorology Gao, (Eric) Xueyuan Gustafson, (Kelly) Cortney Miralles-Wilhelm, Fernando; Clarke, Leon; Hejazi, Mohamad; Kim, Sonny; Gustafson, Kelly; Munoz-Castillo, Raul; Graham, Neal. 2017. Physical Impacts of Climate Change on Water Resources. Discussion Paper;. World Bank, Washington, DC. © World Bank. Gustafson, (Kelly) Cortney Kennedy, Jennifer Lamb, R., Ma, L., Sahajpal, R., Hultman, N., Edmonds, J., Dubayah, R., Kennedy, J., & Hurtt, G. 2021. Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters, 16(8), 084012.Kennedy, Jennifer Li, Haijun Li, H., Song, X.-P., Hansen, M.C. et al. (2023). Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment, 294, p.113623. Li, Haijun Song, X.-P., Li, H., Potapov, P., & Hansen, M.C. (2022). Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning. Agricultural and Forest Meteorology, 326, 109186 Li, Haijun Li, Ruohan Li, R., Wang, D., & Liang, S. (2023). Comparison between deep learning architectures for the 1 km, 10/15-min estimation of downward shortwave radiation from AHI and ABI. Remote Sensing of Environment, 295, 113697. https://doi.org/10.1016/j.rse.2023.113697 Li, Ruohan Li, R., Wang, D., Wang, W., and Nemani, R. (2023) A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-15-1419-2023 Li, Ruohan Wang, D., Liang, S., Li, R., & Jia, A. (2021). A synergic study on estimating surface downward shortwave radiation from satellite data. Remote Sensing of Environment, 264, 112639. Li, Ruohan Li, R., Wang, D., & Liang, S. (2021). Comprehensive assessment of five global daily downward shortwave radiation satellite products. Science of Remote Sensing, 4, 100028. Li, Ruohan Li, R., Wang, D., Liang, S., Jia, A., & Wang, Z. (2022). Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network. Remote Sensing of Environment, 274, 112999. Li, Ruohan Farrell, S. L., Duncan, K., Buckley, E. M., Richter‐Menge, J., & Li, R. (2020). Mapping sea ice surface topography in high fidelity with ICESat‐2. Geophysical Research Letters, 47(21), e2020GL090708. Li, Ruohan Liang, Mengyu (Amber) Liang, M., Duncanson, L., Silva, J. A., & Sedano, F. (2023). Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using Gedi Lidar and landsat. Remote Sensing of Environment, 284, 113367. https://doi.org/10.1016/j.rse.2022. Liang, Mengyu (Amber) Liang, M., González-Roglich, M., Roehrdanz, P., Tabor, K., Zvoleff, A., Leitold, V., Silva, J., Fatoyinbo, T., Hansen, M., & Duncanson, L. (2023). Assessing protected area’s carbon stocks and ecological structure at Regional-scale using GEDI Lidar. Liang, Mengyu (Amber) Liang, M.; Pause, M.; Prechtel, N.; Schramm, M. Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices—Prospects and Case Study. Remote Sens. 2020, 12, 551. Liang, Mengyu (Amber) Liu, Baobao Liu, B., K. Feng, L. Sun, G. Baiocchi. 2024. Does interstate trade of agricultural products in the U.S. alleviate land and water stress? Journal of Environmental Management (2022 IF = 8.7). Vol. 354, article no. 120427. Liu, Baobao Lu, Jiaming Gong, W., Huang, C., Houghton, R.A., Nassikas, A., Zhao, F., Tao, X., Lu, J., & Schleeweis, K. (2022). Lu, Jiaming Lu, J., Huang, C., Tao, X., Gong, W., & Schleeweis, K. (2022). Annual forest disturbance intensity mapped using Landsat time series and field inventory data for the conterminous United States (1986–2015). Remote Sensing of Environment, 275, 113003. Lu, Jiaming Tang, H., Ma, L., Lister, A., O’Neil-Dunne, J., Lu, J., Lamb, R., Dubayah, R., & Hurtt, G. (2021). High-resolution forest carbon mapping for climate mitigation baselines over the RGGI Region, USA. Environmental Research Letters, 16(3), 035011 Lu, Jiaming Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., O’Neil-Dunne, J., Rudee, A., Shen, Q., & Silva, C. (2021). High-resolution forest carbon modeling for climate mitigation planning over the RGGI Lu, Jiaming Marroquin, Byron Pickens, A.H., Hansen, M.C., Hancher, M., Stehman, S.V., Tyukavina, A., Potapov, P., Marroquin, B., Sherani, Z., 2020. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Marroquin, Byron Melocik, Katherine Tucker, C., Brandt, M., Hiernaux, P. et al. Sub-continental-scale carbon stocks of individual trees in African drylands. Nature 615, 80–86 (2023). https://doi.org/10.1038/s41586-022-05653-6 Melocik, Katherine Tucker, C. J., K. A. Melocik, A. Anyamba, et al. 2020. "Reanalysis of the 2000 Rift Valley fever outbreak in Southwestern Arabia." PLOS ONE, 15 (12): e0233279 [10.1371/journal.pone.0233279] Melocik, Katherine Doğukan Doğu Yavaşlı, Compton J. Tucker, Katherine A. Melocik, Change in the glacier extent in Turkey during the Landsat Era, Remote Sensing of Environment, Volume 163, 2015, Pages 32-41, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2015.03.002 Melocik, Katherine Brandt, M., Rasmussen, K., Hiernaux, P. et al. Reduction of tree cover in West African woodlands and promotion in semi-arid farmlands. Nature Geosci 11, 328–333 (2018). https://doi.org/10.1038/s41561-018-0092-x Melocik, Katherine Brandt, M., Tucker, C.J., Kariryaa, A. et al. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature (2020). https://doi.org/10.1038/s41586-020-2824-5 Melocik, Katherine Shen, Quan Potapov, P., Turubanova, S., Hansen, M.C., Tyukavina, A., Zalles, V., Khan, A., Song, X.-P., Pickens, A., Shen, Q., & Cortez, J. (2021). Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nature Food Shen, Quan Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., O’Neil-Dunne, J., Rudee, A., Shen, Q., & Silva, C. (2021). High-resolution forest carbon modeling for climate mitigation planning over the RGGI Shen, Quan Shumilo, Leonid Shumilo, Leonid, and Sergii Skakun. "Optical Flow of Temperature Reveals Climate Change Patterns for Agriculture and Forestry." Remote Sensing Applications: Society and Environment (2024): 101198. Shumilo, Leonid 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 & Enviro Shumilo, Leonid Shumilo, Leonid, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, and Oleh Shkalikov. "Generative adversarial network augmentation for solving the training data imbalance problem in crop classification." Remote Sensing Letters 14, no. 11 (2023): 1131-1140 Shumilo, Leonid 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. Shumilo, Leonid Kussul, Nataliia, Klaus Deininger, Leonid Shumilo, Mykola Lavreniuk, Daniel Ayalew Ali, and Oleg Nivievskyi. "Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields." Sustainability 14, no. 7 (2022): 3965. Shumilo, Leonid Shumilo L, Lavreniuk M, Skakun S, Kussul N. Is Soil Bonitet an Adequate Indicator for Agricultural Land Appraisal in Ukraine? Sustainability. 2021; 13(21):12096. https://doi.org/10.3390/su132112096 Shumilo, Leonid Song, Yunting Song, Y., Fellegara, R., Iuricich, F., & De Floriani, L. (2021). Efficient topology-aware simplification of large triangulated terrains. In GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems (Vol. 1, Issue 1)Song, Yunting Wang, Zhihao Jia, A., et al.: Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data, Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, 2023. Wang, Zhihao Li, R., Wang, D., Liang, S., Jia, A., & Wang, Z. (2022). Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network. Remote Sensing of Environment, 274, 112999. Wang, Zhihao Xu, Shuo S. Xu, D. Wang, S. Liang, Y. Liu and A. Jia, "Assessing the Reliability of the MODIS LST Product to Detect Temporal Variability," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 2504505, doi: 10.1109/LGRS.2023.3312384. Xu, Shuo S. Xu, D. Wang, S. Liang, Y. Liu, and A. Jia, "Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias," Xu, Shuo Jia, A., et al.: Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data, Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, 2023. Xu, Shuo Zhang Q, ..., Xu S. A stepwise downscaling method for generating high-resolution land surface temperature from AMSR-E data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 5669-5681. Xu, Shuo Xu, Shuo, Jie Cheng, and Quan Zhang. "Reconstructing all-weather land surface temperature using the bayesian maximum entropy method over the Tibetan plateau and Heihe river basin." Xu, Shuo Xu, Shuo, and Jie Cheng. "A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering." Remote Sensing of Environment 254 (2021): 112256. Xu, Shuo Xu, Shuo, Jie Cheng, and Quan Zhang. "A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution." Remote Sensing 13.11 (2021): 2211. Xu, Shuo Xu, Xin Xu, Xin. "An unsupervised building footprints delineation approach for large-scale LiDAR point clouds." In Proceedings of the 30th International Conference on Advances in Geographic Information Systems, pp. 1-4. 2022. Xu, Xin Xu, Xin, Federico Iuricich, and Leila De Floriani. "A topology-based approach to individual tree segmentation from airborne LiDAR data." GeoInformatica (2023): 1-30. Xu, Xin Xu, Xin, Federico Iuricich, Kim Calders, John Armston, and Leila De Floriani. "Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds." Xu, Xin Zhang, Peiqi Zhang, P., Stewart, K., & Li, Y. (2023). Estimating traffic speed and speeding using passively collected big mobility data and a distributed computing framework. Transactions in GIS, 00, 1– 21. https://doi.org/10.1111/tgis.13061Zhang, Peiqi Zhang, Yiming 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.Zhang, Yiming
