That's because numpy.median expects one array and keyword arguments, not three
arrays. It's unclear to me what gdal_calc.py does under the hood (I admit I did
not read it) but the correct way to get the median of the three bands would be:
--calc median([A,B,C], 0)
The strange part is that--calc m
Mike,
The gaussian resampling is the one already available for gdaladdo, that was
added per
http://trac.osgeo.org/gdal/ticket/2137
and
http://trac.osgeo.org/gdal/changeset/15323
Basically :
- for a downscaling of factor between 1 and 2 (and for upscaling as well), it
will use a 3x3 kernel
- for
Shuai,
I may have the opportunity to integrate your driver in the future. I just
wanted to make sure you had the right to contribute this work under the X/MIT
license. From some headers like in https://github.com/mongogis/mongodb-gdal-
driver/blob/master/mongo/ogr_mongo.h, I see Nanjing Universi
On 25 November 2014 at 05:34, Even Rouault wrote:
>> Otherwise I have not much to say about this RFC. "Blurring" has two r's,
>
> Fixed
Gaussian blur also has another complexity, since it's output
dimensions depend on the fftconvolve mode (using scipy.signal docs
http://docs.scipy.org/doc/scipy-0
Dear Dr Chris Yesson
Thanks for your quick response.
I got the following error:
ValueError: The truth value of an array with more than one element is
ambiguous.
Use a.any() or a.all()`
Perhaps the expression for calc seems to be revised...
On Tue, Nov 25, 2014 at 4:59 PM, Chris Yesson
wrote:
Dear Simen,
You can refer to each band explicitly using the --A_band option.
Try something like this
gdal_calc.py -A infile --A_band 1 -B infile --B_band 2 -C infile --C_band 3
--outfile outfile --calc median(A,B,C)
- Chris
*Dr Chris Yesson*
*Institute of Zoology, Zoological Society of London*
