Dear all,
I am organizing a very large DEM for a region of interest,
and would like to know from our colleagues what is your
experience with features extraction from large DEM.
What was your highest (rows and cols) DEM that
you handled on grass? I will need to extract features
using r.watershed, r.flor, w.terraflor, and the I need
to extract several features (may be 10) from my final
(not yet ready) DEM.
Thanks in advance for the help
miltinho
brazil=toronto
By the way, I forgot to comment that my computer is a dell,
running vista 64 bits, with 6GB of run. I am also able to
run grass (compiled for 64bits) under Ubuntu on same machine.
Cheers
milton
2009/7/22 Milton Cezar Ribeiro <miltinho.astronauta@gmail.com>
Dear all,
I am organizing a very large DEM for a region of interest,
and would like to know from our colleagues what is your
experience with features extraction from large DEM.
What was your highest (rows and cols) DEM that
you handled on grass? I will need to extract features
using r.watershed, r.flor, w.terraflor, and the I need
to extract several features (may be 10) from my final
(not yet ready) DEM.
Thanks in advance for the help
miltinho
brazil=toronto
no prblem with 20000 x 20000 but takes lots of time
Milton Cezar Ribeiro pisze:
By the way, I forgot to comment that my computer is a dell,
running vista 64 bits, with 6GB of run. I am also able to
run grass (compiled for 64bits) under Ubuntu on same machine.
Cheers
milton
2009/7/22 Milton Cezar Ribeiro <miltinho.astronauta@gmail.com <mailto:miltinho.astronauta@gmail.com>>
Dear all,
I am organizing a very large DEM for a region of interest,
and would like to know from our colleagues what is your
experience with features extraction from large DEM.
What was your highest (rows and cols) DEM that
you handled on grass? I will need to extract features
using r.watershed, r.flor, w.terraflor, and the I need
to extract several features (may be 10) from my final
(not yet ready) DEM.
Thanks in advance for the help
miltinho
brazil=toronto
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The upper computational limit of r.watershed and r.terraflow (not 100% sure here, may be higher) is 2,147,483,647 cells. It will take a long time, r.watershed -m much longer than r.terraflow, but both modules will do it. It will be many hours if not some days for a region with 2,147,483,647 cells, so the question is how long you want to wait.
Markus M
Milton Cezar Ribeiro wrote:
Dear all,
I am organizing a very large DEM for a region of interest,
and would like to know from our colleagues what is your
experience with features extraction from large DEM.
What was your highest (rows and cols) DEM that
you handled on grass? I will need to extract features
using r.watershed, r.flor, w.terraflor, and the I need
to extract several features (may be 10) from my final
(not yet ready) DEM.
Thanks in advance for the help
miltinho
brazil=toronto
------------------------------------------------------------------------
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grass-user mailing list
grass-user@lists.osgeo.org
http://lists.osgeo.org/mailman/listinfo/grass-user
Hi Jarek,
Thanks for the reply! What you means by lots of time? Many hours, many days or weeks?
Any comments about Windows vs Linux?
cheers
milton
2009/7/23 Jarek Jasiewicz <jarekj@amu.edu.pl>
no prblem with 20000 x 20000 but takes lots of time
Milton Cezar Ribeiro pisze:
By the way, I forgot to comment that my computer is a dell,
running vista 64 bits, with 6GB of run. I am also able to
run grass (compiled for 64bits) under Ubuntu on same machine.
Cheers
milton
2009/7/22 Milton Cezar Ribeiro <miltinho.astronauta@gmail.com mailto:[miltinho.astronauta@gmail.com](mailto:miltinho.astronauta@gmail.com)>
Dear all,
I am organizing a very large DEM for a region of interest,
and would like to know from our colleagues what is your
experience with features extraction from large DEM.
What was your highest (rows and cols) DEM that
you handled on grass? I will need to extract features
using r.watershed, r.flor, w.terraflor, and the I need
to extract several features (may be 10) from my final
(not yet ready) DEM.
Thanks in advance for the help
miltinho
brazil=toronto
grass-user mailing list
grass-user@lists.osgeo.org
http://lists.osgeo.org/mailman/listinfo/grass-user