Research Interests: Focusing on digital twins for quantitative forestry remote sensing, conducting research on 4D-explicit structural and radiative transfer modeling of forests based on LiDAR, as well as the forward modeling and inversion of remote sensing observations. His research aims to provide theoretical and practical foundations for the intelligent processing and industrial applications of satellite remote sensing data, with applications in high-precision remote sensing monitoring of forest carbon storage, physiological and ecological monitoring, and forest resource surveys.
E-mail: changliu@bjfu.edu.cn
Personal website: www.researchgate.net/profile/Chang-Liu-98
