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RasterCellcoercer

  • 5 February 2016
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Hi, I am reading 2 ASCI files convert these to rasters and clip each to a polygon feature class, then generate points using RasterCellCoercer so that I end up with a point feature class with DTM and DSM height values for each point. This process is taking far too long. See attached workbench.

Any suggestion how the performance can be improved?

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Best answer by dmitribagh 10 February 2016, 01:48

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This QA might be helpful: Optimising use of RasterCellCoercer

Userlevel 2
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Hi @sunsilk11

I think, the best way to approach this problem is through combining the results of the clipping together into a single rasters grouped by OBJECTID - use RasterBandCombiner for that. If the clipped rasters have the same extents and spacing, this should work nicely. After that, you will have a single raster with two bands - one band will have DTM heights, and another - DSM. Coerce the raster to points and rename both bands to DSM_Height and DTM_Height, and the output can go directly to geodatabase. FeatureMerger, which is the slowest part of you workspace, is simply excluded.

 

 

See the attachment, I added the necessary transformers below your part of the workspace:

 

dm-1553-processlidar.fmw

 

 

If this does not help, do not hesitate to contact me directly at dmitri.bagh@safe.com

Dmitri

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