bug but Even got my Python script
anyway.
Thanks a lot.
My best regards,
Ivan
> ---Original Message---
> From: Frank Warmerdam
> Subject: Re: [gdal-dev] Bigtiff question
> Sent: Mar 05 '09 17:07
>
> Lucena, Ivan wrote:
> > Yes, that runs a lot o
Even Rouault wrote:
What raster format would you suggest then?
I mean, based on those requirements:
- Multiband;
- Large files;
- Good performance *reading* the data in pixel space. Not the "band as
usual" ;)
How about rotating the axis so:
stored x axis = data time axis,
stored y axis = data
Le Thursday 05 March 2009 20:45:49 Lucena, Ivan, vous avez écrit :
> Even,
>
> > for the very poor performance when dealing with pixel interleaved GTiffs
> > with a large number of bands, I think you've hit ticket #2838 that has
> > been fixed 3 weeks ago in trunk and branches/1.6 (*). The perform
Even,
> for the very poor performance when dealing with pixel interleaved GTiffs with
> a large number of bands, I think you've hit ticket #2838 that has been fixed
> 3 weeks ago in trunk and branches/1.6 (*). The performance issue was about
> *reading* in such files, but sometimes when you wr
Ivan,
for the very poor performance when dealing with pixel interleaved GTiffs with
a large number of bands, I think you've hit ticket #2838 that has been fixed
3 weeks ago in trunk and branches/1.6 (*). The performance issue was about
*reading* in such files, but sometimes when you write and t
Lucena, Ivan wrote:
Yes, that runs a lot of seek's to writes just few bytes here and there.
Ivan,
I would note that for pixel interleaved data, access is still a whole
strip/tile at a time which in your case likely means a whole scanline.
In no case does GDAL's GTiff driver seek along to updat
Frank,
> > I am running a Python script that goes through a relatively large number of
> > single band raster files (320) and aggregates it in a big-geotiff (around
> > 7Gb) and I am facing three basic problems *poor performance*, *wrong
> > results*" and *lost of metadata*.
> >
> Ivan,
>
Lucena, Ivan wrote:
Hi there,
I am running a Python script that goes through a relatively large number of
single band raster files (320) and aggregates it in a big-geotiff (around
7Gb) and I am facing three basic problems *poor performance*, *wrong
results*" and *lost of metadata*.
I need that
Hi there,
I am running a Python script that goes through a relatively large number of
single band raster files (320) and aggregates it in a big-geotiff (around 7Gb)
and I am facing three basic problems *poor performance*,
*wrong results*" and *lost of metadata*.
I need that geotiff to be inter
