Shengbiao Wu is currently a Postdoctoral Fellow in Dr. Bin Chen’s research team in the Faculty of Architecture. He received a B.S. degree in physical geography from Wuhan University in 2013, and a Ph.D. degree in Cartography and Geographic Information Systems from University of Chinese Academy of Sciences in 2019. His research interests include the physics of remote sensing, radiative transfer modeling, vegetation phenology monitoring, urban surface energy budget, and human greenspace exposure modeling and monitoring.
Wu, S., Zeng, Y., Hao, D., Liu, Q., Li, J., Chen, X., … & Chen, M. (2021). Quantifying leaf optical properties with spectral invariants theory. Remote Sensing of Environment, 253, 112131. https://doi.org/10.1016/j.rse.2020.112131
Wu, S., Wang, J., Yan, Z., Song, G., Chen, Y., Ma, Q., … & Wu, J. (2021). Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations. ISPRS Journal of Photogrammetry and Remote Sensing, 171, 36-48.
Bian, Z., Wu, S., Roujean, J. L., Cao, B., Li, H., Yin, G., … & Liu, Q. (2022). A TIR forest reflectance and transmittance (FRT) model for directional temperatures with structural and thermal stratification. Remote Sensing of Environment, 268, 112749. https://doi.org/10.1016/j.rse.2021.112749
Song, G., Wu, S., Lee, C. K., Serbin, S. P., Wolfe, B. T., Ng, M. K., … & Wu, J. (2022). Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 19-33.