[GRASS-user] grass-user Digest, Vol 180, Issue 4
Timothy Glyn Southern
tim.southern at talktalk.net
Sat Apr 10 09:43:04 PDT 2021
Problem with wxpython guy in Manjaro with grass 7.8.5
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?
Dr Timothy Glyn Southern
0155 941 8432
0791 076 6814
> On 4 Apr 2021, at 20:00, grass-user-request at lists.osgeo.org wrote:
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> Today's Topics:
> 1. Re: r.watershed identify inland watershed (ming han)
> Message: 1
> Date: Sat, 3 Apr 2021 16:23:26 -0400
> From: ming han <dustming at gmail.com>
> To: Micha Silver <tsvibar at gmail.com>
> Cc: GRASS user list <grass-user at lists.osgeo.org>
> Subject: Re: [GRASS-user] r.watershed identify inland watershed
> <CAD+uAWjx1XBcc6jk+hau8MnDa7CEAJfWeeEyEWq379efWrpMkw at 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.
> Micha Silver <tsvibar at 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
>>> 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
>> Regarding Hydrosheds, the documentation 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.
>>> I understand GRASS has other functions to solve this problem, but just
>>> a user recommendation. I use GRASS a lot.
>>> ming han <dustming at gmail.com <mailto:dustming at gmail.com>>
>>> ?2021?3?30??? ??8:06???
>>> Got it, thanks everyone~
>>> Micha Silver <tsvibar at gmail.com <mailto:tsvibar at gmail.com>>
>>> ?2021?3?29??? ??2:40???
>>> You might try `r.param.scale`, or even better `r.geomorphons`
>>> modules to
>>> identify geomorphology features, then filter out all pixels
>>> 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
>>>> defining flow accumulation and stream network?
>>>> grass-user mailing list
>>>> grass-user at lists.osgeo.org <mailto:grass-user at lists.osgeo.org>
>>> Micha Silver
>>> Ben Gurion Univ.
>>> Sde Boker, Remote Sensing Lab
>>> cell: +972-523-665918
>> Micha Silver
>> Ben Gurion Univ.
>> Sde Boker, Remote Sensing Lab
>> cell: +972-523-665918
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