Publications | GEOG | Geographical Sciences Department | University of Maryland

Liu, J., Z. Tian, S. Dobbie, A.N. Ross, L. Sun, Q. Ye. 2023. Characterization and process understanding of tropical cyclone-induced floods derived from observations in Shenzhen, China. Environmental Research Letters (2022 IF: 6.947). Vol. 18, article no. 124040. https://doi.org/10.1088/1748-9326/ad0bd7. Characterization and process understanding of tropical cyclone-induced floods derived from observations in Shenzhen_Liu_2023_Env_Res._Lett._18_124040.pdf4.84 MB
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, 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
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.
Tanaka, T., L. Sun*, I. Becker-Reshef, X.-P. Song, E. Puricelli. 2023. Satellite forecasting of crop harvest can trigger a cross-hemispheric production response and improve global food security. Communications Earth & Environment (2022 IF: 7.9). Vol. 4, article no. 334. https://doi.org/10.1038/s43247-023-00992-2 Satellite forecasting of crop harvest can trigger a cross-hemispheric production response_CommEarth&Env2023.pdf494.66 KB
Xu, S., Wang, D., Liang, S., Liu, Y., & Jia, A. (2023). Assessing the reliability of the MODIS LST product to detect temporal variability. IEEE Geoscience and Remote Sensing Letters.
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),article no. pgad209, https://doi.org/10.1093/pnasnexus/pgad209. Implementation of carbon pricing in an aging world calls for targeted protection schemes_PNAS Nexus2023.pdf827.15 KB
Duncan, E. C., Skakun, S., Kariryaa, A., & Prishchepov, A. V. (2023). Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning. Science of Remote Sensing, 7, art. num. 100092.
Hall, J.V., Schroeder, W., Rishmawi, K., Wooster, M., Schmidt, C.C., Huang, C., Csiszar, I. and Giglio, L., 2023. Geostationary active fire products validation: GOES-17 ABI, GOES-16 ABI, and Himawari AHI. International Journal of Remote Sensing, 44(10), pp.3174-3193. Geostationary active fire products validation GOES 17 ABI GOES 16 ABI and Himawari AHI.pdf8.17 MB
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
Xu, S., Wang, D., Liang, S., Liu, Y., & Jia, A. (2023). Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias. International Journal of Applied Earth Observation and Geoinformation, 120, 103347.
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.
Vadrevu, K.P., Ohara, T. and Justice, C. eds., 2023. Vegetation Fires and Pollution in Asia. Book Publication. Springer Nature.
Xin, Yu, Laixiang Sun*, Matthew Hansen. 2023. Land-cover and land-use change trajectory hopping facilitates estate-crop expansion into protected forests in Indonesia. Conservation Letters (2022 IF: 8.5). 16 (4), article no. e12957.https://doi.org/10.1111/conl.12957 Land‐cover and land‐use change trajectory hopping facilitates estate‐crop expansion_ConservationLetters2023.pdf1.57 MB
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
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.Geophysical Research Letters, 50(7), e2022GL102327.
Dai Y. et al. Coastal phytoplankton blooms expand and intensify in the 21st century. Nature 615, 280–284 (2023). https://doi.org/10.1038/s41586-023-05760-y Dai-etal-nature-2023.pdf11.65 MB
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
Liang, Z., L. Sun*, Z. Tian, G. Fischer, H. Yan. 2023. Increase in grain production potential of China under climate change. Proceedings of the National Academy of Sciences of the USA (PNAS) Nexus. Vol. 2, Issue 3, pp. 1-10. https://doi.org/10.1093/pnasnexus/pgad057. Increase in grain production potential of China under climate change_PNAS Nexus2023.pdf2.74 MB
Meng, Z. et al. Post-2020 biodiversity framework challenged by cropland expansion in protected areas. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01093-w
Meredith L. Gore, Rowan Hilend, Jonathan O. Prell, Emily Griffin, John R. Macdonald, Burcu B. Keskin, Aaron Ferber & Bistra Dilkina (2023) A data directory to facilitate investigations on worldwide wildlife trafficking, Big Earth Data, DOI: 10.1080/209644 A data directory to facilitate investigations on worldwide wildlife trafficking.pdf2.43 MB
Nakalembe, Catherine, and Hannah R. Kerner. "Considerations for AI-EO for agriculture in Sub-Saharan Africa." Environmental Research Letters (2023). Nakalembe_2023_Environ._Res._Lett._18_041002.pdf1.73 MB
Olschewski, P., P. Laux, J. Wei, B. Böker, Z. Tian, L. Sun4, H. Kunstmann. 2023. An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX. Weather and Climate Extremes(2021 IF: 7.761), Vol 39, article no. 100531. https://doi.org/10.1016/j.wace.2022.100531. An ensemble based assessment of bias adjustment performance and compound extreme events _WCE2023.pdf10.62 MB
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
Wang, H., K. Feng, P. Wang, Y. Yang, L. Sun*, W. Chen, Y. Zhang, J. Li. 2023. China’s electric vehicle and climate ambitions jeopardized by surging critical material prices. Nature Communications (2021 IF: 17.69). Vol. 14, Article number. 1246. https://doi.org/10.1038/s41467-023-36957-4. Chinas electric vehicle and climate ambitions jeopardized by surging critical material prices_Nature Comm2023.pdf1.53 MB