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The wiki is not intended as documentation for the uavRST package. Rather, it should provide a simple introduction to the application of the most important functions. Central features such as the derivation of 3D structural parameters from UAV data or the machine learning methods for the classification of RGB data are shown using best practice examples

BTW feel free to modify, correct or add the content

Short and sweet Introduction to uavRst

1. ML based RGB Classification
2. UAV Tree Segmentation
3. Morphological filtering of RGB
4. VIS indices
5. Color Space Transformation
6. Creating canopy height models from UAV derived point data

Frequently asked questions

What is uavRst based on?

every tool that is callable :-)