OpenDroneMap-ODM/contrib/pc2dem/README.md

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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.

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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.

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