[GRASS-user] Aggregation of massive number of raster layers with r.series

[Blumentrath, Stefan]

Hi Pierre,

tiling should speed up significantly, if you process the tiles in parallel (and if you have multiple cores and if IO is not the bottleneck (e.g. slow network connection to the data)).
Care has to be taken with the region settings, though.

See e.g.:
https://grasswiki.osgeo.org/wiki/Parallel_GRASS_jobs#Working_with_tiles

Cheers
Stefan

________________________________________
Von: grass-user <grass-user-bounces at lists.osgeo.org> im Auftrag von Pierre Roudier <pierre.roudier at gmail.com>
Gesendet: Freitag, 21. April 2017 00:49
An: grass-user
Betreff: [GRASS-user] Aggregation of massive number of raster layers with       r.series

Hi,

I am trying to compute the 95th percentile of a massive grid (12+
million pixels) for a massive number of layers (~2500 layers).

I am doing the aggregation using r.series on our cluster running grass
7.2, but of course it takes ages (21% there after 3 days).

- I tried to tile the process, but it doesn't seem to help much.

- Is there any benefit for me to switch to t.rast.aggregate? My
understanding was that it was a wrapper around r.series.

- Does anyone have a fancy trick to make the aggregation go faster
(parallelisation)?

Cheers,

Pierre
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