FoScenes has been accepted by Remote Sensing of Environment (RSE).
7th International Workshop on the DART Radiative Transfer Model — Hong Kong
The preliminary version of FoScenes releases 40 seamless scenes over 28 diverse forest sites using ALS data acquired by NASA Goddard’s LiDAR, Hyperspectral & Thermal Imager (G-LiHT).
We are now looking for a Postdoctoral Fellow to support research activities in developing fusion algorithms combining Photogrammetry and LiDAR technologies to retrieve forest canopy structure. 1-2 RA to support research activities in developing algorithms to monitor the phenology of urban vegetation using LiDAR technology. 1 PhD student has experience in 3-D radiative transfer modelling.
![[News] FoScenes has been accepted by Remote Sensing of Environment (RSE)](/assets/img/foweb.png)
![[DART Workshop] 7th International Workshop on the DART Radiative Transfer Model - Hong Kong 2025](/assets/img/darhk.png)
![[Calls for Abstracts] AOGS 2025 - Session BG18: Remote Sensing of Terrestrial Vegetation: Observations, Modeling, and Applications](/assets/img/AOGS2025%20WEB%20DESIGN-03.png)
![[Release] FoScenes: A Large-scale and High-fidelty 3-D voxel-based Forest Plant Area Density Product Derived From Open-Access Airborne Lidar Data](/assets/img/siteview.png)