- Reduce the point cloud a bit to make things fast
- Run ourselves a progressive morphological filter. This will classify ground points and extract ground
- Then we'll do a simple IDW interpolation to a DEM
{
"pipeline":[
"input.las",
{
"type":"filters.sample",
"radius":"0.5"
},
{
"type":"filters.pmf",
"extract":"true"
},
{
"resolution": 2,
"radius": 5,
"output_type":"idw",
"filename":"outputfile.tif"
}
]
}
docker run -v $(pwd)/data:/data dockerpdal pdal pipeline /data/dem.json --readers.las.filename=/data/odm_georeferenced_model.ply.las --writers.gdal.filename=/data/odm_georeferenced_model.dem.tif