Hi Markus,
no, I’m working on the same machine all the time. As external input
data I use point cloud data in las-format that were generated with
drone deploy. I had some trouble with the point clouds in the
beginning, but I managed to convert them and load them in grass. The
processing of the point clouds (rasterization, calculation of
fragmentation index) works well now. I also use the DTM from
Dronedeploy as base raster, but that shouldn’t have an effect on the
rasterized point cloud.
Zitat von Markus Neteler <[email protected]>:
Hi Olivier,
<[email protected]> schrieb am Do., 16. Juli 2020,
15:38:
Hello everyone,
I’m using the 3D-Forest-Fragementation Modul developed by Vaclav and
have produced a workflow for the calculation. It is working well and
I’m getting plausible results. While applying this workflow for my
whole study region (35 plots/regions) it only works for about 50 % of
the plots. The others fail at the step where I use
r3.count.categories. I can’t see the link respectively the difference
for this error. That’s why am asking for a hint:
I’m running Grass 7.8.2 (64 bit), Python 3.7.0, wxPython 4.0.7 on Windows
10
The problem occurs while running this command:
"r3.count.categories input=ff_mean_131_2 output=ff_mean_131_2_count
slices=ff_mean_131_2_slice --overwrite"
With this error:
"[…]
Raster map 22 Filename: ff_mean_131_2_slice_00022
Raster map 23 Filename: ff_mean_131_2_slice_00023
WARNING: ZSTD compression error -14: Unsupported frame parameter
ERROR: Error uncompressing raster data
Did you copy by chance the data from a different machine?
This error comes to mind:
https://lists.osgeo.org/pipermail/grass-user/2019-March/080180.html
Best
markusN
for row 43 of
<ff_mean_131_2_slice_00010>
ERROR: An error occurred while running r.mapcalc with expression:
ff_mean_131_2_count_0 = int(ff_mean_131_2_slice_00001 == 0) + […]"
For each failing plot the error occurs in this step. The slices seem
to be generated correctly. I couldn’t see differences while displaying
them or comparing the raster metadata.
In the different plot its always another slice (2D Raster) and another
row where the uncompressing fails. I tried to reduce the plot-size and
found out, that the error occurs always in the same row of a plot. If
this row is excluded, it works fine.
That’s why I think it has nothing to do with missing space on disk, or
not enough calculating capacity.
Has someone an idea what’s the problem? Thanks very much!
Greetings,
Olivier
_______________________________________________
grass-user mailing list
[email protected]
https://lists.osgeo.org/mailman/listinfo/grass-user
_______________________________________________
grass-user mailing list
[email protected]
https://lists.osgeo.org/mailman/listinfo/grass-user
