[GRASS-user] Re: r.watershed ending with an error
ssefick at gmail.com
Sun Jul 12 00:12:52 EDT 2009
I did a resample to the current computation region. This made the
colnumxrownum go from 100000x100000 to 1000x1000, and this ran like a
champ. Lesson- don't run a watershed delineation on the entire state
thanks for all of your help,
On Sat, Jul 11, 2009 at 7:07 AM, Markus
Metz<markus.metz.giswork at googlemail.com> wrote:
> stephen sefick wrote:
>> Sorry patch_dem was patch_map - The process is still stalling however
> In what section? What is the size the current computational region, rows
> x columns? Did it go into swap space?
>> On Fri, Jul 10, 2009 at 7:14 PM, stephen sefick<ssefick at gmail.com> wrote:
>>> Mac OS X 10.5.7
>>> 1.8Ghz 1GB of RAM-
>>> the only input is the raster patch_dem 1/3arc second
>>> r.watershed elevation=patch_dem at PERMANENT threshold=10000
>>> accumulation=accumulation basin=catch stream=str
>>> this exits with the following message:
>>> SECTION 1a (of 5): Initiating Memory.
>>> ERROR: Raster map <patch_dem at PERMANENT> not found
>>> WARNING: Subprocess failed with exit code 256
>>> WARNING: category information for [accumulation] in [PERMANENT] missing or
>>> WARNING: category information for [catch] in [PERMANENT] missing or invalid
>>> WARNING: category information for [str] in [PERMANENT] missing or invalid
>>> I know catch is not in PERMANENT it is an output etc.
>>> I have been trying all day with different parameters and I can't
>>> figure it out. I want to delineate watersheds with there aspects and
>>> "other cool watershed things". I also want to get the strahler order
>>> for streams. I was going to use v.strahler, but this addon seems to
>>> be defunct. I have used it but it writes values to a text file... I
>>> am thinking of using SAGA for stream ordering- I believe that it has
>>> this particular feature.
>>> thanks in advance,
>>> Stephen Sefick
>>> Stephen Sefick
>>> Let's not spend our time and resources thinking about things that are
>>> so little or so large that all they really do for us is puff us up and
>>> make us feel like gods. We are mammals, and have not exhausted the
>>> annoying little problems of being mammals.
>>> -K. Mullis
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
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