I have a similar goal, but the solution in the case below will not work for me.
I have three points A,B C that I have linked together through Delaunay
triangulation;
A
/\
/ \
/\
/ \
/\
/ \
/\
B C
I want to
Lee, Nepomuk Reinhard und Nils Räder
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E-Mail: l...@isi-solutions.org
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2012/6/9 Michael Perdue michael_per...@yahoo.ca
I have a similar goal, but the solution
Hate to be a wet blanket, but both NAD27 and NAD83 UTM coordinates are supposed
to be in meters. The False Easting for the UTM zones are defined to be 50m
regardless of datum. So, the presence of meters in your DB is not a solid
indication that it is in NAD83. As the lat/long in you're file
In GRASS, one thing you can try is to normalize your data so the variations
from scene to scene are minimized. ie, run a linear regression between
overlapping maps and then use the coefficients to normalize one of the data
sets. However, it is tedious and doesn't work well if the two images
i.atcorr supports the MSS sensor aboard Landsat 5 and is not
applicable to Landsat 1 data (nor landsat's 2,3 or 4). In-order to
atmospherically correct landsat 1 data with i.atcorr you'll need to
add support for it. It's not hard and I would be willing to spare what
free time I can to help
. Will it be ok to
post a txt file on the list with the interpretation results?
Cheers
Andrew
On 7/29/09, Michael Perdue michael_per...@yahoo.ca wrote:
Hi Andy,
Yes, it looks like the right info for the SPOT sensor platforms.
Iwave.cpp expects the data to be in 2.5nm increments so you will
have
, Michael Perdue michael_per...@yahoo.ca wrote:
Hi Markus,
Here is a text file with everything organized as I think it should
be. I didn't add the this Iwave.cpp to submit a patch as I wasn't
really sure how to modify GeomCond.cpp.
Cheers,
Mike
On 26-Jul-09, at 1:34 PM, Markus Neteler wrote:
Great
Hi Markus,
Here is a text file with everything organized as I think it should be.
I didn't add the this Iwave.cpp to submit a patch as I wasn't really
sure how to modify GeomCond.cpp.
Cheers,
Mike
On 26-Jul-09, at 1:34 PM, Markus Neteler wrote:
Great - the header of Iwave.cpp contains
I believe these are what you're looking for.
http://www.science.aster.ersdac.or.jp/en/about_aster/sensor/excel/SPEC_ROFILES.LZH
Cheers,
Mike
On 26-Jul-09, at 10:56 AM, Markus Neteler wrote:
Hi Stefan,
On Sun, Jul 26, 2009 at 1:27 PM, Stefan Syllastefansy...@gmx.de
wrote:
Hi Markus,
Organized like this?
/* 1st spectral band of enhanced thematic mapper plus */
static const float sr1[35] = {
.0160, .0710, .2870, .6665, .7920, .8570, .8390, .8060,
.7790, .8460, .9010, .8995, .8900, .8510, .8750, .8930,
.8840, .9300, .9580, .9540, .9800, .9750, .9650,
I'm guessing that the values in these two assignments represent the
left and right edges of the Spectral response curves. Is that correct?
static const float wli[7] = { 0.4350, 0.5000, 0.6150, 0.7400, 1.5050,
2.0150, 0.5025 };
static const float wls[7] = { 0.5200, 0.6225, 0.7025, 0.9125,
Some one beat me to it or I must be blind. The relevant bits are in
the wiki.
Cheers,
Mike
On 21-Jul-09, at 2:49 PM, Markus Neteler wrote:
On Tue, Jul 21, 2009 at 8:06 PM, Michael Perduemichael_per...@yahoo.ca
wrote:
I thought I'd read in a previous e-mail that the module ran much
Hi,
I've been playing around with i.landsat.toar and am having problems
correctly entering the gain values on the command line.
The bands are labeled as:
l7_049026_01_toaDN l7_049026_04_toaDN l7_049026_08_toaDN
l7_049026_02_toaDN l7_049026_05_toaDN l7_049026_6h_toaDN
l7_049026_03_toaDN
I thought I'd read in a previous e-mail that the module ran much
faster if the user used an intergerized DEM rather than a floating
point DEM. I can't seem to find the original post but if true, I think
it would be a very useful piece of information for the wiki.
On 21-Jul-09, at 3:29 AM,
I was able to generate a ENVI style header that will allow you to read
the files with GDAL. Modify as necessary and you should be able to
work with the *.img files.
On 5-Jul-09, at 6:56 PM, Michael Perdue wrote:
... you might be able to manipulate GDAL to read it. If you can
create
I don't think you can use r.in.bin because there is no option to
specify the number of bands and how those bands are interleaved. In
the past I've used Multispec and Matlab to read the data but you might
be able to manipulate GDAL to read it. If you can create a header file
for a generic
Is there a way to test if two vectors are identical, including their
attribute tables? i.e., I've changed some code and now I want to test
that the results are the same. Is there an easy way to do this?
Cheers,
Mike
___
grass-user mailing list
I read through the one of the papers today (M. A. Brovelli , M.
Cannata and U. M. Longoni, 2002. Managing and processing LIDAR data
within GRASS, Proceedings of the Open source GIS - GRASS users
conference 2002) and the authors recommended a step value or 3 to 4
time the average point
On 19-Jun-09, at 8:54 PM, Hamish wrote:
Michael wrote:
I actually get the same thing.
For the first while the process runs in full use
of one core, but once the process starts writing results to
the db, the whole process bogs down to a
grinding halt. CPU usage for v.lidar.edgedetection
drops
I actually get the same thing. For the first whiletheprocess runs in full use of one core, but once the process starts writing results to the db, the wholeprocessbogs down to a grindinghalt. CPU usage for v.lidar.edgedetection drops down to ~1% (1% of one core) and sqlite usage rises to ~16%.
OOPS, forgot to hit the list with this one.
On 17-Jun-09, at 2:30 AM, Hamish wrote:
William wrote:
I don't see any changes in v.delaunay
itself from RC4, though maybe there are changes in the
vector libraries. Did this work in RC4?
Note since Nov 26 2008 (ie all 6.4.0RCs) v.delaunay has
Hi,
v.delaunay is generating incorrect results on Mac OS X on my machine
(Intel Mac Pro, Leopard, W. Kyngesburye's GRASS 6.4-RC5 binaries). The
following commands give the results below;
echo 456490.2375|5905949.8625|1
456690.0917|5905895.5625|2
456570.9333|5905821.65416667|3
?
A big difference in RC5 for OSX is that it's now 64bit. Does this
work:
arch -i386 v.delaunay in=DelaunayPoints out=DelaunayTriangles
On Jun 16, 2009, at 5:50 PM, Michael Perdue wrote:
Hi,
v.delaunay is generating incorrect results on Mac OS X on my
machine (Intel Mac Pro, Leopard, W
You can try using the -n flag for r.proj to avoid region clipping or
you can extend your region beyond the edges of the zone.
On 1-Apr-09, at 4:10 PM, Renae Mackas wrote:
Hello GRASS users-
I am trying to create a mosaic of LANDSAT taken of Eastern Hudson
Bay area using GRASS 6.3.0. I
If you create a VRT file for your CSV file, then you should be able to
import it with v.in.ogr directly.
v.in.ogr dsn=/Users/Desktop/Data/
081211_Mitchell_plane_bores_list_V002.vrt out=mitchell_bores
You VRT file would look like:
OGRVRTDataSource
OGRVRTLayer
You could do;
v.to.rast - r.thin - r.to.vect - v.clean (and maybe v.generalize)
But you'll lose the link to the attribute data.
Cheers,
Mike
- Original Message
From: Aurora Geomatics [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Wednesday, June 18, 2008 5:24:46 PM
Subject:
From what I see, gdalinfo hak_ser2.asc is listing all the latitudes
as being positive which means that they are in the northern
hemisphere. It looks to me like gdal is doing the right thing and
there is something wrong with the ASCII grid.
Mike
On 15-May-08, at 8:01 AM, Rainer M Krug
You can use sed to find and replace patterns within a file. So;
~ cat temp.txt
1619923.0297213|4836235.79480289|0.01571819
1619927.57223432|4836235.09835698|nan
1619910.45256599|4836241.22590928|6.82026114
To make a substitution
~ sed 's/nan/-/g' ./temp.txt
Not exactly what your asking, but you could pipe the output through
awk to remove any fields that you don't want.
Cheers,
Mike
On 18-Jan-08, at 3:23 PM, Jonathan Greenberg wrote:
I'm trying to export a 3d vector to an ascii file that just contains
x y z using v.out.ascii, but the output
If I understand you correctly, you want to draw a topographic profile
superimposed on an arc representing the curvature of the earth? What
you want to do then is show the orthogonal distance of each sample
from the chord defined by the start and end point of profile. You can
try as follows
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