Publications | GEOG | Geographical Sciences Department | University of Maryland

Zhang, P., X. Zhao, L. Sun, J. Zuo, W. Wei, X. Liu, X. Peng, Y. Shan, S. Li, L. Ge, J. Li, K. Feng. 2023. What can we learn from the 2008 financial crisis for global power decarbonization after COVID-19?   Fundamental Research (2022 IF: 6.2). Published online 14 March 2023. https://doi.org/10.1016/j.fmre.2023.02.017. What can we learn from the 2008 financial crisis for global power decarbonization after COVID-19_ Fundamental Research2023.pdf3.39 MB
Zubkova, M., Humber, M., Giglio, L. 2023. Is global fire activity declining due to cropland expansion? How much do we know based on remotely sensed data? Int. J. Remote Sens., 44, 4. Is global burned area declining due to cropland expansion How much do we know based on remotely sensed data.pdf2.64 MB
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-2over land. Remote Sensing of Environment, 285, art. num. 113412.
Easter, T., Trautmann, J., Gore, M., & Carter, N. (2023). Media portrayal of the illegal trade in wildlife: The case of turtles in the US and implications for conservation. People and Nature, 00, 1– 16. https://doi.org/10.1002/pan3.10448 People and Nature - 2023 - Easter - Media portrayal of the illegal trade in wildlife The case of turtles in the US and.pdf7.34 MB
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.
Memarsadeghi, Natalie, Kathleen Stewart, Yao Li, Siriporn Sornsakrin, Nichaphat Uthaimongkol, Worachet Kuntawunginn, Kingkan Pidtana et al. "Understanding work-related travel and its relation to malaria occurrence in Thailand using geospatial maximum entropy modelling." Malaria Journal 22, no. 1 (2023): 1-11.
Tian, Z., D. Ramsbottom, L. Sun*, Y. Huang, H. Zou, J. Liu. 2023. Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory. Nature Water, Vol.1, issue 2, pp. 198–208. https://doi.org/10.1038/s44221-022-00017-w. Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory_NatureWater2023.pdf1.36 MB
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." International Journal of Applied Earth Observation and Geoinformation 116 (2023): 103145.
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.
Hu, G., Feng, K., & Sun, L. (2023). Multiscale Analysis of the Relationship between Toxic Chemical Hazard Risks and Racial/Ethnic and Socioeconomic Groups in Texas, USA. Environmental Science & Technology, 57 (5), 2019–2030.
Hu, G., Feng, K., Sun, L., & Baiocchi, G. (2023). Tracing toxic chemical releases embodied in US interstate trade and their unequal distribution. Environment international, 171, 107681.
Jia, A., Wang, D., ..., & Yu, Y. (2023). Improved cloudy-sky snow albedo estimates using passive microwave and VIIRS data. ISPRS Journal of Photogrammetry and Remote Sensing. 196, 340-355. https://doi.org/10.1016/j.isprsjprs.2023.01.004
Kahler, Jessica S., Danielle M. Reynald, and Meredith L. Gore. "“I let it go:” Quantifying residential guardianship intentions when witnessing wildlife poaching." Biological Conservation 277 (2023): 109829. 1-s2.0-S0006320722003822-main.pdf733.75 KB
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, 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. Global Environmental Change, 78, 102621. https://doi.org/10.1016/j.gloenvcha.2022.102621
Vadrevu, K.P., 2023. Fractal analysis revealed persistent correlations in long-term vegetation fire data in most South and Southeast Asian countries. Environmental Research Communications. DOI 10.1088/2515-7620/acb041
Xu, Xin, Federico Iuricich, and Leila De Floriani. "A topology-based approach to individual tree segmentation from airborne LiDAR data." GeoInformatica (2023): 1-30.
Vadrevu, K., Eaturu, A., Casadaban, E., Lasko, K., Schroeder, W., Biswas, S., Giglio, L. and Justice, C. 2022.Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic. Scientific Reports, 12(1)1-2112(1), pp.1-21.
Hijbeek, R., van Loon, M., Ouaret, W., Boekelo, B., & van Ittersum, M. (2021). Liming agricultural soils in Western Kenya: Can long-term economic and environmental benefits pay off short term investments?. Agricultural Systems, 190, 103095.https://doi.org/10.1016/j.agsy.2021.103095 1-s2.0-S0308521X21000482-main.pdf4.83 MB
Song, K., G. Baiocchi, K. Feng, K. Hubacek, L. Sun, D. Wang, D. Guan. 2022. Can U.S. multi-state climate mitigation agreements work? A perspective from embedded emission flows. Global Environmental Change (2021 IF: 11.16), Vol. 77, article no. 102596. https://doi.org/10.1016/j.gloenvcha.2022.102596.
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, 109186View the full article: https://authors.elsevier.com/a/1fqeQcFXJcsCK
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.
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.
Duncan, K., & Farrell, S. L. (2022). Determining variability in Arctic sea ice pressure ridge topography with ICESat-2. Geophysical Research Letters, 49, e2022GL100272. https://doi.org/10.1029/2022GL100272
Qi, Xinxian, Kuishuang Feng, Laixiang Sun*, Dandan Zhao, Xianjin Huang. 2022. Drivers of rising agriculture water scarcity in China. One Earth (2021 IF: 14.944), Vol. 5, pp. 1139–1152. https://doi.org/10.1016/j.oneear.2022.09.008. Rising agricultural water scarcity in China_OneEarth2022.pdf3.85 MB