Hello, I have this process to convert a URL to a MEM dataset.
It's not the target data but it's representative, a netcdf with band-level
and dataset-level metadata. We can clear the dataset level with
COPY_SRC_MDD, but I can't see how to do that for the band level. We're
hoping to keep this witho
Hi,
I just wanted to point that a shortcoming of RFC 96
(https://gdal.org/development/rfc/rfc96_deferred_plugin_loading.html)
was discovered. https://github.com/OSGeo/gdal/pull/10068 will address
it. Please refer to it for the details.
This PR is aimed at being backported for 3.9.1. Pedantic
Hi,
The WMS cache (which is used underneath by the WMTS driver) writes each
tiles in a separate file. So if you use multi-threaded, as long as you
read in parallel different GDALDataset* object on the WMTS filename, and
read disjoint areas, that should be fine. There might be a slight risk
of
Because this is not clear in documentation, especially in WMTS driver docs,
my question is strictly about this issue to programmers who have already
explored this topic.
Regards
Michal
W dniu śr., 29.05.2024 o 10:04 Rahkonen Jukka <
jukka.rahko...@maanmittauslaitos.fi> napisał(a):
> Hi,
>
>
>
>
Hi,
No, I am not sure because I do not program myself. Reading this document
https://gdal.org/user/multithreading.html makes me feel that it is possible to
do some things in parallel, but the programmer must know how to do it right.
-Jukka Rahkonen-
Lähettäjä: Javier Jimenez Shaw
Lähetetty: k
On Wed, 29 May 2024 at 08:59, Rahkonen Jukka via gdal-dev <
gdal-dev@lists.osgeo.org> wrote:
> Hi,
>
>
>
> When you have a RasterBand from the WMTS data source, it is abstracted
> and you can read the raster data just like from any other data source and
> raster band
> https://gdal.org/tutorials/
Hi,
When you have a RasterBand from the WMTS data source, it is abstracted and you
can read the raster data just like from any other data source and raster band
https://gdal.org/tutorials/raster_api_tut.html#reading-raster-data "There are a
few ways to read raster data, but the most common is
