Etienne,
You can find a lot of sample code in the gdal test scripts[1]. There is a
test script for regenerating overviews in gcore/tiff_ovr.py [2].
You can apply a filter using a VRT file[3]. It supports filters of various
sizes.
[1]: http://trac.osgeo.org/gdal/browser/trunk/autotest/
[2]:
http:
Thanks Anton
This might seem obvious to many of you, but how could I go about applying a
filter using the gdal utilities/functions/python code?
Etienne
- Original Message -
From: Anton Korosov
To: gdal-dev@lists.osgeo.org
Cc:
Sent: Friday, August 5, 2011 3:27:41 AM
Subject: Re: [gdal
That's an interesting idea, thanks!
I looked around the code and found that the overviews are created in
the GDALRegenerateOverviews() function in file gcore/overview.cpp . It reads:
[...] it can also be used to generate downsampled images in one file from
another outside the overview architec
Chaitanya,
I forgot to mention that the entire shapefile (much bigger) has many more
polygons with 32 possible values (land cover type), so -with isn't practical in
this case.
What I meant by 'most representative value' was, to have the value which
represents the dominant land cover type in
I suggested the -where option because your shapefile had only two features
that are (almost)inverse of each other. You can select only one of them. You
might want to use the -at option with this.
What do you mean by 'most representative value'?
On Fri, Aug 5, 2011 at 5:40 PM, Etienne wrote:
> H
Hi!
Looks like a syntax error. There should be a colon after EOS_GRID
Try
gdalinfo HDF4_EOS:EOS_GRID:"C:\filename.hdf":POSTEL:data1
At least that works at my Linux:
gdalinfo
HDF4_EOS:EOS_SWATH:"/host/gdaltest/MOD021KM.A2010105.2120.005.2010106075131.hdf":MODIS_SWATH_Type_L1B:EV_1KM_RefSB
On
Hi and thanks!
I set the init value to 255, and the overlapping pixels are set to that value
(instead of the default of 0).
Unfortunately, using -where resulted in the same gaps not being filled, and a
combination of -where and -at selects too many pixels (the borders all overlap).
Looking
Greetings
I have read This webpage: http://www.gdal.org/frmt_hdf4.html
But I'm having one difficulty
If I have my HDF in my current folder I'm able to do gdalinfo over my file
and then over my layer
gdalinfo HDF4_EOS:EOS_GRID"filename.hdf":POSTEL:data1
and I get all the information
But, if I have
Hi Antonio!
In python you'll probably have to open the dataset, loop through all
bands, fetch description (or metadata) from each band and then decide if
the required band exists.
f =
gdal.Open('HDF4_EOS:EOS_SWATH:"MOD021KM.A2010105.2120.005.2010106075131.hdf":MODIS_SWATH_Type_L1B:EV_1KM_Ref
On 08/05/2011 03:57 AM, Etienne wrote:
Hi all,
I am trying to resample a raster with categorical data (land surface vegetation/cover) from a high resolution (500m) to a coarser resolution.
I would like to do something similar to what the GRASS operator r.resamp.stats does, using the modal c
Hi Anton
Thanks for the feedbvack. Unfortunely I'm not much familiar with bash
Script. I'm running this in Python (without Gdalpy). Is there a way for
Python?
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The message was che
Etienne,
Rasters of type Byte cannot hold values below 0. So, the nodata value of -1
is not practical. It's better to choose 0 or 255 depending on your data or
choose a different data type.
Your problem arises because the two geometries in the shapefile overlap in
some places and leave some gaps
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