[GRASS-user] r.3.count.categories compression error -14

[Olivier.C.Canon at umwelt.uni-giessen.de]

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 <neteler at osgeo.org>:

> Hi Olivier,
>
> <Olivier.C.Canon at umwelt.uni-giessen.de> 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
>>
>>
>>
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