Problem with wxpython guy in Manjaro with grass 7.8.5
Dear colleagues,
Following a period of low use due to health issues I am once again trying to use GRASS to visualise and analyse archaeological data.
I am running Manjaro and the latest download of GRASS from AUR.
It starts fine and shows both display windows for the GUI and then the windows crash. It is repeatable.
I have tried removing GRASS and reinstalling but that has not fixed the issue. As well I have tried changing the flags on the GUI. None make any difference, as soon as the mouse is apparently moved the windows crash.
Is this a known problem and is there a work around?
Thanks
Tim Southern
Dr Timothy Glyn Southern
0155 941 8432
0791 076 6814
On 4 Apr 2021, at 20:00, grass-user-request@lists.osgeo.org wrote:
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than “Re: Contents of grass-user digest…”Today’s Topics:
- Re: r.watershed identify inland watershed (ming han)
Message: 1
Date: Sat, 3 Apr 2021 16:23:26 -0400
From: ming han dustming@gmail.com
To: Micha Silver tsvibar@gmail.com
Cc: GRASS user list grass-user@lists.osgeo.org
Subject: Re: [GRASS-user] r.watershed identify inland watershed
Message-ID:
CAD+uAWjx1XBcc6jk+hau8MnDa7CEAJfWeeEyEWq379efWrpMkw@mail.gmail.com
Content-Type: text/plain; charset=“utf-8”Hi Micha
I understand what you mean. But it requires another step to
manually identify depressions from these pre-conditioned DEM.Cheers
MingMicha Silver tsvibar@gmail.com ?2021?4?3??? ??12:43???
On 4/2/21 5:37 PM, ming han wrote:
Maybe I am the only one who has this demand. Following is just a
recommendation to GRASS r.watershed function.
Maybe it is worth having an option to avoid r.watershed overcome
depressions.
The reasons are 1) there are many hydrologically pre condition DEM
data available globally, such as:HydroSHEDS, MERIT
2) the depression in these DEM are real
depressions, overcome these depressions will make the entire drainage
systemRegarding Hydrosheds, the documentation[1] in section 3.4 explains how
they overcame the problem of sinks. They performed a regular “fill
sinks” operation on areas that were SRTM artifacts. True natural
depressions were identified manually, then another manual procedure of
carving rivers was done to force flow thru these depressions and produce
hydrologically correct streams and basins. So pre-conditioning to
overcome depressions is not a magic bullet…In my opinion, the best results are obtained when true depressions
(pits, salt playas or karst regions) are identified, and set to NULL in
the elevation raster. That will allow r.watershed to stop routing at
those locations, and produce correct stream and basin layers.[1]https://hydrosheds.org/images/inpages/HydroSHEDS_TechDoc_v1_2.pdf
incorrectly.
I understand GRASS has other functions to solve this problem, but just
a user recommendation. I use GRASS a lot.Thanks
Mingming han <dustming@gmail.com mailto:dustming@gmail.com>
?2021?3?30??? ??8:06???Got it, thanks everyone~
MingMicha Silver <tsvibar@gmail.com mailto:tsvibar@gmail.com>
?2021?3?29??? ??2:40???Hello:
You might try
r.param.scale, or even betterr.geomorphons
modules to
identify geomorphology features, then filter out all pixels
identified
as pits.r.watershed is purposely designed to overcome depressions, and
find flow
routing thru these spots. So I don’t think you can use that
module to
identify depressions.On 3/27/21 8:49 PM, ming han wrote:
Hi Everyone
When I do watershed delineation using r.watershed for
great salt
lake watershed. I found r.watershed always tried to assign
an outlet
for a great salt lake, which does actually not exist because
it is an
inland lake and the great salt lake has no watershed outlet
at all.
I noticed that there is a depression option. But is
there any
way that r.watershed can automatically identify depressions
while
defining flow accumulation and stream network?
Thanks
Ming
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–
Micha Silver
Ben Gurion Univ.
Sde Boker, Remote Sensing Lab
cell: +972-523-665918–
Micha Silver
Ben Gurion Univ.
Sde Boker, Remote Sensing Lab
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