2024年3月23日，LESS团队很高兴邀请到来自比利时根特大学的刘畅博士，在北京师范大学科技楼进行了关于森林三维场景重建和辐射传输建模相关的讲座。本次讲座的主题是”3D-explicit tree representation from terrestrial laser scanning to improve radiative transfer modeling of forests”

遥感可以获得森林生态系统的空间和时间信息，以支持制定更加科学的环境问题政策。利用遥感数据反演森林信息的一个重要基础是辐射传输模型。然而，目前常用的简化辐射传输模型导致了建模过程的不确定性。 主讲人刘畅博士分享了改善辐射传输精度的不同方法，通过引入基于地基激光雷达的三维显式森林结构表示建模，有助于减少森林建模的不确定性，提高我们对森林辐射传输过程的理解。 通过更准确的辐射传输模拟，研究人员可以更好地理解森林生态系统的能量平衡、碳循环等关键过程，为森林管理和全球气候变化研究提供有力支持。 本次讲座的举办，不仅展示了3D显式树形表征技术的最新研究进展，也为相关领域的专家学者提供了一个交流和学习的平台。我们期待这一领域能够取得更多突破。

On March 23, 2024, the LESS team was pleased to invite Dr. Chang LIU from Ghent University in Belgium to give a lecture on forest 3D scene reconstruction and radiative transfer modeling at Beijing Normal University. The theme of this lecture was “3D-explicit tree representation from terrestrial laser scanning to improve radiative transfer modeling of forests”.

Remote sensing （RS） can obtain spatial and temporal information on forest ecosystems to support making informed polices 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. Dr. Chang Liu shared research on different methods to improve radiative transfer (RT) modeling. By introducing a 3D-explicit forest structure representation for modeling, it is helpful to reduce the uncertainty of forest modeling and improve our understanding of the RT process in forests. Through more accurate RT simulation, researchers can better understand key processes such as energy balance and carbon cycle in forest ecosystems, providing strong support for forest management and global climate change research.

The holding of this lecture not only showcases the latest research progress of 3D-explicit tree representation technology, but also provides a platform for experts and scholars in related fields to communicate with each other. We look forward to more breakthroughs in this field.