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stitch lidar maps

J
We have successfully converted raw LiDAR data into GeoTIFF format to use in our 3d software program.  We are very happy with the FME Workstation solution!!

 

 

Out next step is that we would like to "stitch" 4 tiled sections of raw LiDAR data together into one large GeoTIFF.  We are exploring with the RasterTiler, but I think we need the opposite of this tool as it seems to tile one image into 4 images.

 

 

I see the RasterMosaicker transformer but I'm very new to this software.  Could anybody help me set this up?

 

 

 

 

Best answer by takashi

You can set 2 or more files to the Dataset of the reader to read them concurrently.

 

 

 

And then, you can send all the features to a transformer, like this.

 

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10 replies

takashi
Contributor
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  • takashiContributor
  • Contributor
  • March 22, 2015
Hi Jimmy,

 

 

As you mentioned, the RasterMosaicker does that.

 

Just send the four rasters to the transformer. Then it creates a merged single raster.

 

 

Another way.

 

The PointCloudCombiner can be used to merge the four point clouds.

 

You can then convert the resulting point cloud to a raster.

 

 

Takashi
J
  • jimmy3d
  • Author
  • March 22, 2015
Hello Takashi,

 

 

Thanks so much for the feedback!

 

Previously I used the reader icon to assign the Format >> to LAS and Dataset >> to bring in the file.

 

 

I can't figure out how to bring the 4 sets of data into RasterMosaicker. or the PointCloudCombiner.

 

 

 In the PointCloudCombiner it askes for a attribute which I assigned to LAS (my LiDAR dataset), but I can't find where to bring in the actual data or LiDAR file.

 

 

Thanks again for your help!

 

jimmy

 

 

 
takashi
Contributor
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  • takashiContributor
  • Contributor
  • March 22, 2015
You can select the 4 LAS datasets (files) in the Add Reader dialog to read them simultaneously.

 

One feature type called "LAS" appears on the Canvas; it outputs the 4 point cloud features one by one.

 

You can then send them a transformer to do the required processing.
J
  • jimmy3d
  • Author
  • March 22, 2015
I still don't understand how they wiil be "stitched" together. Are you saying that I can imput several *.LAS files by loading all of them into the reader at once then send them to the Raster* transformer and they will come out stitched together in the writer as one large GeoTIFF?

 

Thanks!
takashi
Contributor
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  • takashiContributor
  • Contributor
  • March 22, 2015
I suppose that "stitch" is equivalent to "mosaic"/"combine" for rasters/point clouds.

 

If my understanding is right, the answer is "Yes". The RasterMosaicker/PointColudCombiner should work as expected.

 

You can send all the source features (rasters/point clouds) to the transformer. Then it will create a required feature (mosaicked/combined).
J
  • jimmy3d
  • Author
  • March 22, 2015
I understand that the RasterMosaicker / PointColudCombiner should work for the stitching of the terrain maps, however I literally can not figure out how to get the files into the transformer.  I give it another try later tonight.

 

Thanks Takashi!

 

 
takashi
Contributor
Forum|alt.badge.img+19
  • takashiContributor
  • Contributor
  • Best Answer
  • March 22, 2015
You can set 2 or more files to the Dataset of the reader to read them concurrently.

 

 

 

And then, you can send all the features to a transformer, like this.

 

J
  • jimmy3d
  • Author
  • March 22, 2015
Ah, Ok.  That really helps!  I think I got stuck on the basics, didn't realize how the reader works.

 

 

THANKS!!!
takashi
Contributor
Forum|alt.badge.img+19
  • takashiContributor
  • Contributor
  • March 22, 2015
I would recommend you to see here to learn more about adding reader.

 

FME Workbench > Readers and Writers > Adding Readers (http://docs.safe.com/fme/html/FME_Desktop_Documentation/FME_Desktop_Help.htm#../Subsystems/FME_Workbench/Content/Workbench/readers_adding.htm)

 

 

Good luck!

 

J
  • jimmy3d
  • Author
  • March 23, 2015
Takashi,

 

Can't thank you enough for helping a newbie!!!

 

 

 

 

Came into my 3d editor clean, and looks great!

 

 

Cheers,

 

jimmy

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