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Algorithm Description

filters.dem uses a raster to keep data within a range of the raster cell. For example, atmospheric or MTA noise in a scene can be quickly removed by keeping all data within 100m above and 20m below a pre-existing elevation model. This algorithm is ported from the excellent PDAL - Point Data Abstraction Library. For more information please refer to https://pdal.io.

License

BSD

Homepage

https://pdal.io/stages/filters.dem.html#filters-dem

Parameters

Name	Description	Data Type	Required?
band	GDAL Band number to read (count from 1)	integer
input_pipeline_json	JSON pipeline which this will be added to.	string
limits	A Range that defines the dimension and the magnitude above and below the value of the given dimension to filter. The following example would keep all Z point cloud values that are within 100 units above and 20 units below the elevation model value at the given X and Y value: Z[20:100]	string
raster	GDAL readable raster data to use for filtering. (filename)	string

Outputs

Name	Description	Data Type
output_pipeline_json	Pipeline Json	string

Versions

• 1.8.0 (current)