[GRASS-user] Workflow for DSM from LiDAR

GRASS GRASS user
1

High list,

I have a dense LiDAR data ~8pt/m2, how can I process this data in order to obtain a dense digital surface model for example 50cm of relsolution? I’ll like to have good detail of the rooftops for solar analysis , in particolar I’ll like to have not to much noise in the slope and aspect maps obtained from the DSM.

Thanks,

Lorenzo

2

On Mon, Apr 4, 2016 at 1:36 PM, Lorenzo Bottaccioli <
lorenzo.bottaccioli@gmail.com> wrote:

High list,

I have a dense LiDAR data ~8pt/m2, how can I process this data in order to
obtain a dense digital surface model for example 50cm of relsolution? I'll
like to have good detail of the rooftops for solar analysis , in particolar
I'll like to have not to much noise in the slope and aspect maps obtained
from the DSM.

Hi,

the first thing I would try is binning with r.in.lidar. You will see how
many NULL cells you will get and how smooth it will be. You can try to fix
it by running r.neighbors. If it won't be enough, try v.in.lidar and then
interpolate the surface, e.g. using v.surf.rst (this will be slower then
binning).

Vaclav

Thanks,

Lorenzo

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