[GRASS-user] r.watershed identify inland watershed
veroandreo at gmail.com
Sat Apr 3 06:45:02 PDT 2021
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El vie, 2 abr 2021 a las 16:37, ming han (<dustming at gmail.com>) escribió:
> 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
> system incorrectly.
> 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> 于2021年3月30日周二 上午8:06写道：
>> Got it, thanks everyone~
>> Micha Silver <tsvibar at gmail.com> 于2021年3月29日周一 下午2:40写道：
>>> You might try `r.param.scale`, or even better `r.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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>>> > grass-user at lists.osgeo.org
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>>> Micha Silver
>>> Ben Gurion Univ.
>>> Sde Boker, Remote Sensing Lab
>>> cell: +972-523-665918
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