Re: [GRASS-user] Median filtering time series in time only

On 2021-01-27 16:59, Veronica Andreo wrote: Both r.series and t.rast.series will estimate the median per pixel in time (either for the whole series or the time period you want). Would it be possible then with so e sort of special for cycle? Sorry, I didn't pay attention. Reading more

Re: [GRASS-user] Raster gaussian filter

On Wed, Jan 27, 2021 at 4:20 PM Eric Patton via grass-user wrote: > > Great, thanks Markus! I’ll give it a try. Just as a note (and it is always good to ask in the list here, so that others become aware of the many tools available!), the keyword index:

Re: [GRASS-user] r.clump/ Concurent mapset locking is not supported on Windows

dag.lit wrote > I am working only on one user on the computer (I don't have more usuers). > Everything was normally working and one day it stops. I alredy tried to > uninstall and install QGIS but it didn't help :( It could be a region setting issue. QGIS shows the used GRASS commands. you

Re: [GRASS-user] Median filtering time series in time only

An example: In [1]: from scipy.signal import medfilt In [4]: ts = [1, 2, 2, 6, 3, 3, 4, 4, 3, 2, 2, 1] In [5]: medfilt(ts, kernel_size=3) Out[5]: array([1., 2., 2., 3., 3., 3., 4., 4., 3., 2., 2., 1.])___ grass-user mailing list

Re: [GRASS-user] Median filtering time series in time only

Yes, I have tried `r.series.fiter` with winsize=3 and winsize=9 for a year of MODIS products. It seems it works. But I want to ensure I am not filtering in space too.- Vero, it feels nice to read you understand what I am trying to describe. As usual there is an excuse/justification: workload

Re: [GRASS-user] Raster gaussian filter

Great, thanks Markus! I’ll give it a try. ~ E. On Wed, Jan 27, 2021 at 11:10 AM, Markus Metz wrote: > A spatial Gauss filter is available in r.resamp.filter. I use it regularly > for smoothing and interpolation. > > HTH, > > Markus M > > On Wed, Jan 27, 2021 at 4:03 PM Eric Patton via

Re: [GRASS-user] Raster gaussian filter

A spatial Gauss filter is available in r.resamp.filter. I use it regularly for smoothing and interpolation. HTH, Markus M On Wed, Jan 27, 2021 at 4:03 PM Eric Patton via grass-user < grass-user@lists.osgeo.org> wrote: > > Hi all, > > I was wondering if there was any tool in grass that does a

Re: [GRASS-user] Raster gaussian filter

Hei Eric, Try r.neighbors. Cheers Stefan Get Outlook for Android From: grass-user on behalf of Eric Patton via grass-user Sent: Wednesday, January 27, 2021 3:59:15 PM To: grass-user Subject: [GRASS-user] Raster gaussian filter Hi

[GRASS-user] Raster gaussian filter

Hi all, I was wondering if there was any tool in grass that does a Gaussian blur of a raster data set. I am trying to smooth out and blur survey-related artefacts in a swath multibeam dataset. I seem to remember in Grass 6.x there was r.gauss, but I don’t see it anymore in Grass 7.8.x.

Re: [GRASS-user] Median filtering time series in time only

El mié., 27 ene. 2021 11:33, escribió: > Thank you Vero. > > Consider the following time series [1, 2, 2, 6, 3, 3, 4, 4, 3, 2, 2, 1] <- > evolution of a pixel in time. > > Say this is always the same pixel indexed at [0, 0] in each of 12 raster > maps registered in a GRASS GIS STRDS. > > Median

Re: [GRASS-user] Median filtering time series in time only

Thank you Vero. Consider the following time series [1, 2, 2, 6, 3, 3, 4, 4, 3, 2, 2, 1] <- evolution of a pixel in time. Say this is always the same pixel indexed at [0, 0] in each of 12 raster maps registered in a GRASS GIS STRDS. Median filtering pixel-wise in time, only, with a

Re: [GRASS-user] Median filtering time series in time only

What exactly do you mean by median-filtering in time only, Nikos? Get the median and then filtering out all pixels above/below that value? If that's the case, then maybe some of the examples here https://grasswiki.osgeo.org/wiki/Temporal_data_processing#Spatio-temporal_algebra_with_STRDS might be

[GRASS-user] Median filtering time series in time only

I am trying to median-filter time series in time and not in space. Not sure `r.series.filter` is the right tool. I skimmed through the manual, the paper and the source code. Yet I am asking for a confirmation. Its (odd integer) parameter `winsize=` implies a moving window (of size winsize^2).