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 @5b6411ac That looks helpful. I haven’t tried to wrangle LIDAR data in R yet. Thanks for sharing. 
 @f4f101c0 No worries. I tried small things a few years ago (pre-covid). A bit computer intensive and I struggled to get good crown delineations. It might be different now.

Cool thing is that there is free, publicly available LIDAR for the whole of Christchurch, I think. 
 @5b6411ac yes, there’s quite a bit of LIDAR data from across Canterbury: https://koordinates.com/data/?q=Lidar+Canterbury. 

If you’re interested in having a go at this in R, perhaps we can get together and share code, I’ve got quite a bit of ground-based biodiversity data form across wider Christchurch, that I expect could be explained by the cover and height of vegetation that could be extracted from LIDAR data. I haven’t got around to trying that yet but it’s on my to-do list. 
 @f4f101c0 That sounds interesting. Please let me think how could one proceed with that. 
 @5b6411ac @f4f101c0 An ex colleague got reasonable survival results from aerial image analysis on a 2 year old planting a few years back. I think that was in R. 

I have successfully used LIDAR to delineate emergent podocarps in QGIS. Ā great tool for finding big trees in hard to access places.

I'm really keen to see what you both come up with.

I know lots of work happening by Regional Councils to quantify indigenous vegetation cover for the NPS-IB as well.

https://cdn.masto.host/ecoevosocial/media_attachments/files/111/022/760/006/014/045/original/678f6802a3303ef4.jpg

https://cdn.masto.host/ecoevosocial/media_attachments/files/111/022/760/212/899/574/original/b5bd8692f69211df.jpg