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Point Cloud To DEM
Convert point clouds (LAS, LAZ, PLY, and any other format compatible with PDAL) to GeoTIFF elevation models.
This tool includes methods to perform efficient and scalable gapfill interpolation and is the same method used by ODM's processing pipeline. It is offered here as a standalone module for processing individual point clouds.
Usage
docker run -ti --rm -v /home/youruser/folder_with_point_cloud:/input --entrypoint /code/contrib/pc2dem/pc2dem.py opendronemap/odm /input/point_cloud.las [flags]
The result (dsm.tif or dtm.tif) will be stored in the same folder as the input point cloud. See additional flags you can pass at the end of the command above:
usage: pc2dem.py [-h] [--type {dsm,dtm}] [--resolution RESOLUTION]
[--gapfill-steps GAPFILL_STEPS]
point_cloud
Generate DEMs from point clouds using ODM's algorithm.
positional arguments:
point_cloud Path to point cloud file (.las, .laz,
.ply)
optional arguments:
-h, --help show this help message and exit
--type {dsm,dtm} Type of DEM. Default: dsm
--resolution RESOLUTION
Resolution in m/px. Default: 0.05
--gapfill-steps GAPFILL_STEPS
Number of steps used to fill areas with
gaps. Set to 0 to disable gap filling.
Starting with a radius equal to the output
resolution, N different DEMs are generated
with progressively bigger radius using the
inverse distance weighted (IDW) algorithm
and merged together. Remaining gaps are
then merged using nearest neighbor
interpolation. Default: 3