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# Point Cloud To DEM
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Convert point clouds (LAS, LAZ, PLY, and any other format compatible with [PDAL ](https://pdal.io/stages/readers.html )) to GeoTIFF elevation models.
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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.
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## 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
```
