报告题目：3D-explicit tree representation from terrestrial laser scanning to improve radiative transfer modeling of forests
主讲人：Chang Liu (刘畅) 博士
邀请人：漆建波 副教授
时 间：2024年3月23日（周六）14:00
地 点：北京师范大学 科技楼B区1010
报告人简介：
Chang Liu received the Ph.D. degree in Bioscience Engineering from Ghent University, Belgium, in 2024. His research focused on reducing uncertainties in forest radiative transfer modeling by introducing 4D-explicit forest representations based on LiDAR. His research interests include radiative transfer model, terrestrial LiDAR, digital twin, and forward modeling and interpretation of remote sensing observation. He participated in the dynamic reconstruction and maintenance of Wytham Woods forest model. Chang Liu has presented his research at five international conferences/workshops and (co)-authored four peer-reviewed scientific articles published in Remote Sensing of Environment, Journal of Geophysical Research: Atmospheres, Geoscientific Model Development, and Global Change Biology. He is also the reviewer of Remote Sensing of Environment.
主要内容：
Urbanization, industrialization, and globalization have led to increasing environmental issues such as global warming, deforestation, and water shortages. Forests play a fundamental role in the Earth’s environment and could help mitigate many environmental problems caused by human actions. Remote sensing (RS) can obtain spatial and temporal information on forest ecosystems to support making informed policies on environmental issues. An important basis for retrieving forest information from RS data is the radiative transfer model (RTM). However, the forest structure assumptions currently used in RTMs have led to uncertainties in the modeling process. This study analyzed different methodological options for improving radiative transfer (RT) modeling by introducing 3D-explicit forest structural representations. This research contributes to reducing uncertainties in forest RT modeling and improving our understanding of forest RT processes.
