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Geospatial-Information Science and Remote Sensing
Human Dimensions of Global Change - Coupled Human and Natural Systems
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Carbon, Vegetation Dynamics and Landscape-Scale Processes
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Center for Geospatial Information Science
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Faculty: A Historic Look
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About Us
Department Overview
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Administration
Resources
Emergency Preparedness
Undergraduate
Prospective Students
Advising
Courses and Facilities
Special Programs
Graduation
Internship and Career Exploration
Graduate
Prospective Ph.D. Students
Master of Science and Graduate Certificate Programs
About Our Ph.D. Students
Resources
Research
Geospatial-Information Science and Remote Sensing
Human Dimensions of Global Change - Coupled Human and Natural Systems
Land Cover - Land Use Change
Carbon, Vegetation Dynamics and Landscape-Scale Processes
GIS
Center for Geospatial Information Science
Alumni
Faculty: A Historic Look
The Department of Geographical Sciences Alumni
Diversity
Land Acknowledgement
Diversity, Equity, Inclusion & Anti-Racism in GEOG
Beyond GEOG: Resources and Learning
GEOG and UMD Reporting Mechanisms
High School Hub
Program Overview
High School Awards
High School Internship Program (HIP)
GIS Day
Terp Young Scholars Summer Program
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Grad Student Publications
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
Tian, P., H. Zhong, X. Chen, K. Feng, L. Sun, N. Zhang, X. Shao, Y. Liu, K. Hubacek. 2024. “Keeping the global consumption within planetary boundaries.” Nature (2022 IF: 50.5, 5 yr IF: 54.4), in press.
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
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
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, Yuhao
Wang, Y, K Feng, L Sun, Y Xie, X-P Song. 2024. Satellite-based soybean yield prediction in Argentina: a comparison between panel regression and deep learning methods. Computers and Electronics in Agriculture (2022 IF = 8.3). 221, article no. 108978.
Wang, Yuhao
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
Jia, A., Liang, S., Wang, D., Mallick, K., Zhou, S., Hu, T., & Xu, S. (2024). Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review. IEEE Geoscience
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.13061
Zhang, 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