SRH Seminar: Forest defoliation estimation using single-scan TLS data and a new method of equiangular sectorial voxelization developed during this process

At this project, different parameters were calculated and by a machine learning method to estimate pine tree defoliation caused by pest. A surprising result was that the point density could be the most powerful and simple parameters to achieve that. The uneven point density from single-scan TLS caused problem, but with a new voxelization method, it can also help a lot to derive information more fast and easily. The distribution of the point cloud from single-scan TLS is quite characteristic, and how to use it subtly is still an interesting topic.​

At the seminar PhD student Langning Huo will tell you more about the project. 

Welcome!