Application : Tree inventory with Point Cloud
The tree inventory is based on the input .las, and then divides the point cloud to calculate the attributes and structural parameters of each tree. Then, after the calculation process, we can perform a visual inspection from side and top views. Tree records will eventually be output in .csv format.
Application GUI
Demo video of the Tree Inventory with Point Cloud
This programme is going to do the tree structural extraction across the input LiDAR point cloud data (1) Tree count, (2) Tree mid-point coordinate (x,y), height (z), crown spread and inclination will derived with the input point cloud and process after the algorithm computation.
Requirement and IDE: Apple M1 chip or Windows > 16 RAM Pycharm, Visual Studio Code and NetBeans Be aware that the larger the file size, the longer the processing time (around 1.24 second per MB) So for a 200MB .las file, the processing time is around 5 mins
The input data format: .las, it is a common Airborn LiDAR point cloud format, includes the x,y,z,intensity and classification field. Our approch is to process the ground by interpolation (void filling), then we can compute the tree height accordingly.
There are some processed point cloud in the "Showcase" page. We have made the application available for Windows users as an .exe file. To download it, please visit the Google Drive page, before the installation unzip the zipped folders first. (https://drive.google.com/file/d/1Fs1rkDa2wkY4dKh2xp2kW6XK_lZVkvPk/view?usp=sharing).
The step by step guid to our window app
Please download it from the Google Drive first, this app only work in the window enviornment.
https://drive.google.com/file/d/1Fs1rkDa2wkY4dKh2xp2kW6XK_lZVkvPk/view?usp=sharing
Some of the processed output messages
Sample .csv output
Here shows the critical steps for the installation and application
