Tree Height Estimation Using UAV and Photogrammetric 3D Point Clouds

[MARIE ANGEL PUYO]

Good day ma'am/sir,

I'm Marie Angel Puyo, a geodetic engineering student. I humbly ask for your kind assistance regarding my thesis entitled “Tree Height Estimation Using UAV and Photogrammetric 3D Point Clouds". I’m very much interested in estimating tree height using drone imagery. Is there a way to estimate tree using 3D Point Clouds? And classify them into classes such as ground, non-ground, man-made, and vegetation? 

Thank you for your time. I hope will give this email a positive response. Thank you very much.

Respectfully yours,

Angel

[Martin Isenburg]

Hello,

It definitely works in case the forest is sparse or has many openings but it is a lot harder when you have areas with complete closed canopies as you will not be able to get any ground model at all and there could be complex terrain hiding under the canopy. Small valleys could get filled in or small mountains could get chopped off when trying to determine the ground from photogrammetric point clouds when the vegetation cover is complete. Best is to combine it with a good ground model. Maybe try to get the LiDAR from the PHIL LIDAR project for reference and to use as your DTM:

https://lipad.dream.upd.edu.ph/

Alternatively put some transects through the denser forest areas to get at least some ground points: Here you see an example workflow for this:

https://rapidlasso.com/2017/06/13/integrating-external-ground-points-in-forests-to-improve-dtm-from-dense-matching-photogrammetry/

Regards,

Martin

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