Rongyun Tang

Rongyun is a postdoc working on modeling CH4 dynamics from rice fields in Arkansas and elsewhere, supported by our NASA-Carbon Monitoring Systems grant.

Ph.D. Industrial Engineering, University of Tennessee, Knoxville

M.S. Cartography and Geographical Information System, College of Geography, Beijing Normal University

B.Sc. Remote Sensing Science and Technology, Capital Normal University, China

Publications

Tang, R., Jin, M., Mao, J., Ricciuto, D.M., Chen, A., Zhang, Y., 2024. Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0. Geoscientific Model Development 17, 1525–1542. https://doi.org/10.5194/gmd-17-1525-2024

Zhang Y, Mao J, Ricciuto D, Jin M, Yu Y, Shi X, Wullschleger S, Tang R, Liu J. Global fire modelling and control attributions based on the ensemble machine learning and satellite observations. Science of Remote Sensing. 2023 June; 7:100088-. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2666017223000135 DOI:10.1016/j.srs.2023.100088

Tang, R., Mao, J., Jin, M., Chen, A., Yu, Y., Shi, X., Zhang, Y., Hoffman, F.M., Xu, M., Wang, Y., 2021. Interannual variability and climatic sensitivity of global wildfire activity. Adv. Clim. Change Res. https://doi.org/10.1016/j.accre.2021.07.001

Chen, A., Tang, R., Mao, J., Yue, C., Li, X., Gao, M., Shi, X., Jin, M., Ricciuto, D., Rabin, S., Ciais, P., Piao, S., 2020. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades. Geogr. Sustain. 1, 47–58. https://doi.org/10.1016/j.geosus.2020.03.002
Tang, R., Zhao, X., Zhou, T., Jiang, B., Wu, D., Tang, B., 2018. Assessing the impacts of urbanization on albedo in Jing-Jin-Ji Region of China. Remote Sens. 10. https://doi.org/10.3390/rs10071096
Tang, R., Zhao, X., Tang, B., Wei, H., Peng, Y., 2017. Influence of urbanization on radiative forcing in Beijing (In Chinese). J. Beijing Norm. Univ. Sci. https://doi.org/10.16360/j.cnki.jbnuns.2017.04.012
Zhou, Q., Zhao, X., Wu, D., Tang, R., Du, X., Wang, H., Zhao, J., Xu, P., Peng, Y., 2019. Impact of Urbanization and Climate on Vegetation Coverage in the Beijing–Tianjin–Hebei Region of China. Remote Sens. 11, 2452. https://doi.org/10.3390/rs11202452
Wang, Y., Su, M., Shen, L., Tang, R., 2021. Decision-making of closed-loop supply chain under Corporate Social Responsibility and fairness concerns. J. Clean. Prod. 284, 125373.
Shen, L., Wang, X., Liu, Q., Wang, Y., Lv, L., Tang, R., 2021. Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development. Mathematics 9, 1717.
Book Chapter:
Wu, D., Zhao, X., Tang, R., Peng, Y. 2017. Time-lag effects and global pattern of vegetation response to climate change. In Liang, S. (Ed.), The production and application of global change remote sensing products, Chapter 13, pp. 338-364. Beijing: Science Press.