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Prospective Ph.D. Students
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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
GIS Undergraduate
GIS Summer/Winter Workshops
Centers
Geographical Sciences Centers
Alumni
Faculty: A Historic Look
The Department of Geographical Sciences Alumni
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Grad Student Publications
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
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
Hu, Guangxiao
Nakalembe, C., Becker-Reshef, I., Bonifacio, R., Hu, G., Humber, M. L., Justice, C. J., … Sanchez, A. (2021). A review of satellite-based global agricultural monitoring systems available for Africa. Global Food Security, 29, 100543. https://doi.org/10.101
Hu, Guangxiao
Jantz, Samuel
Song, X.-P., Hansen, M.C., Potapov, P.V., Adusei, B., Pickering, J., Adami, M., Lima, A., Zalles, V., Stehman, S.V., (2021). Massive soybean expansion in South America since 2000 and implications for conservation. Nature Sustainability, 4, 784-792
Jantz, Samuel
Jantz, S. M., Pintea, L., Nackoney, J., & Hansen, M. C. (2016). Landsat ETM+ and SRTM data provide near real-time monitoring of Chimpanzee (Pan troglodytes) habitats in Africa. Remote Sensing, 8(5), 427.
Jantz, Samuel
Jantz, S. M., B. Barker, T. M. Brooks, L. P. Chini, Q. Huang, R. M. Moore, J. Noel, and G. C. Hurtt. 2015. Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation.
Jantz, Samuel
Jia, Aolin
Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment. 278. 113105. https://doi.org/10.1016/j.rse.2022.113105
Jia, Aolin
Jia, A., Wang, D., ..., & Yu, Y. (2022). Global daily actual and snow-free blue-sky land surface albedo climatology from 20-year MODIS products. Journal of Geophysical Research: Atmospheres, 127, e2021JD035987. https://doi. org/10.1029/2021JD035987
Jia, Aolin
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.
Jia, Aolin
Jia, A., Ma, H., Liang, S., & Wang, D. (2021). Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method. Remote Sensing of Environment, 263, 112566. https://doi.org/10.1016/j.rse.2021.112566
Jia, Aolin
Jia, A., Liang, S., Wang, D., Jiang, B., & Zhang, X. (2020). Air pollution slows down surface warming over the Tibetan Plateau. Atmos. Chem. Phys., 20(2), 881-899. doi:10.5194/acp-20-881-2020
Jia, Aolin
Jia, A., Liang, S., Jiang, B., Zhang, X., & Wang, G. (2018). Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis. Journal of Geophysical Research: Atmospheres, 123(4), 1970-1989.
Jia, Aolin
Jia, A., Jiang, B., Liang, S., Zhang, X., & Ma, H. (2016). Validation and spatiotemporal analysis of CERES surface net radiation product. Remote Sensing, 8(2), 90.
Jia, Aolin
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
Kumar, Ipsita
Kumar, I., K. Feng, L. Sun, V. Bandaru. 2022. Adoption of biomass for electricity generation in Thailand: Implications for energy security, employment, environment, and land use change. Renewable Energy (2020 IF: 8.001).
Kumar, Ipsita
Kumar, I., V. Bandaru, S. Yampracha, L. Sun, B. Fungtammasan. 2020. “Limiting Rice and Sugarcane Residue Burning in Thailand: Current Status, Challenges and Strategies.” Journal of Environmental Management (IF = 5.647; 5-yr IF: 5.708), Vol. 276,
Kumar, Ipsita
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
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.; 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)
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. 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
Prashnani, Meghavi
Discrimination of minor crops (maize and cauliflower) using Sentinel-1 SAR data
Prashnani, Meghavi
Abiotic Stress Detection in in-field Maize Crop Using UAV Remote Sensing
Prashnani, Meghavi
Geospatial Approach for Cropping Pattern Analysis of Morigaon District of Assam
Prashnani, Meghavi
Flood Damage Assessment of Kharif Rice Crop Using Geospatial Technology
Prashnani, Meghavi
A Multi-stage Image Segmentation Framework for Human Detection in Mid Wave Infra-Red (MWIR) Imagery.
Prashnani, Meghavi
Polarimetric Decomposition and Statistical Analysis of Chandrayan-I Mini-SAR Data for Study of Lunar Craters,
Prashnani, Meghavi
Investigation on noise sensitivity of Neural Networks in hyper spectral imagery classification, ERCICA-2013 , Elsevier conference journal
Prashnani, Meghavi
Impact Evaluation of Feature Reduction Techniques on Classification of Hyper Spectral Imagery,
Prashnani, Meghavi
Identification of military vehicles in hyper spectral imagery through spatio-spectral filtering,
Prashnani, Meghavi
Understanding crop growing pattern in Bardhaman district of West Bengal using multi-date RISAT 1 MRS data , ISPRS Technical Commission VIII Symposium -2014
Prashnani, Meghavi
Crop Condition Assessment And Varietal Discrimination using Multispectral Sensor Onboard Unmanned Aerial Vehicle(UAV), Special Issue on Remote Sensing” in Journal of National Academy of Sciences India. ISSN: 2250-1762.
Prashnani, Meghavi
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
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
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
Xia, Zhiyue-Luna
Stewart, K., Li, M., Xia, Z., Adewole, S.A., Adeyemo, O., Adebamowo, C., 2020. Modeling spatial access to cervical cancer screening services in Ondo State, Nigeria. International Journal of Health Geographics 19, 28.
Xia, Zhiyue-Luna
Xia, Z., Stewart, K., Fan, J., 2021. Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area. Computers, Environment and Urban Systems 87, 101599.
Xia, Zhiyue-Luna
Xu, Shuo
Zhang Q, Wang N, Cheng J, et al. 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
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
Zhu, Guimin
Zhu, G., Stewart, K., Niemeier, D., & Fan, J. (2021). Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine Learning Approach. ISPRS International Journal of Geo-Information, 10(7), 440.
Zhu, Guimin
