DSM processing issues when calculating tree canopy heights

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02-26-2016 09:13 AM
ShannonShy
New Contributor II

Hi there,

I'm working on calculating tree heights (canopy height) for our school's research forest. All was going well until I processed Raw comprehensive lidar data into terrain data then back into raster for a DSM. When I ran the bare earth lidar data I didn't receive any complications but for the final DSM output there are these extremely high data cells that seem to run North/South through the data. I would say that these are power lines but power lines do not run 2133.24 meters above ground also I know the area and there aren't power lines there. I've included images of both the DEM and DSM raster.DSMproblems.JPG

Above is the DSM raster, notice the HIGH elevation value relative to the DEM's HIGH elevation value. This is not a natural feature.

DSMproblems1.JPG

Above is the DEM raster, extremely smooth and normal. No problems.

So all in all, is there a way to fix this weird issue? I've tried to exclude the high value in the symbology tab under the properties but that won't help when it comes time to crunch some numbers.

I'm going to subtract the DEM from the DSM to get canopy heights, then overlay that onto stem mapping data, but first I need to fix the issue.

here are the links I followed to help me with DEM and DSM processing:

Creating raster DEMs and DSMs from large lidar point collections—Help | ArcGIS for Desktop

Importing terrain dataset source measurements—Help | ArcGIS for Desktop

Estimating forest canopy density and height—Help | ArcGIS for Desktop

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1 Reply
ArthurCrawford
Esri Contributor

Hi Shannon,

I would look at your original lidar to see if there are points that are too high.   Open ArcGIS and add your las dataset.   Do a Profile View window of the lidar.   See if in the original lidar there are points that are too high, if so reclassify the points to be noise (7). On your las dataset, set the filter for class to turn off 7 and then try to remake your DSM.

Arthur Crawford

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