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I found this: https://labs.aap.cornell.edu/daslab/projects/treefolio https://labs.aap.cornell.edu/daslab/projects/treefolio The videos were ok > Tree Folio us
by cantSpellSober 3y ago
I found this: https://labs.aap.cornell.edu/daslab/projects/treefolio https://labs.aap.cornell.edu/daslab/projects/treefolio
The videos were ok
> Tree Folio uses bespoke tools to identify tree canopies from raw LiDAR data. We've built a filtering program to isolate tree canopy points from the rest of the LiDAR data, a clustering algorithm to extract 3D models of each individual tree from the canopy, and a custom shading simulation platform that models shading interactions between the specific tree and the surrounding buildings
- asdff 3y agoI went through their website, but it didn't really answer my question of if this was really better than some old fashioned way, e.g. taking satellite imagery and measuring density of canopy and using some simple formula to estimate shade effect based on tree or orientation of the street perhaps. 3D modelling, constantly updating LIDAR maps, custom shading simulation, it all seems like a lot of resource heavy technology. I'm not sure whether or not its being applied in a way that actually offers a statistically significant benefit over other, maybe less expensive methods.