Even,
On Tue, Mar 19, 2019 at 4:53 PM Even Rouault
wrote:
>
> Markus,
>
> yes this file has unconventionnal indexing of variables, with the fastest
> varying dimension being latitude, which confuses the driver
>
> In https://github.com/OSGeo/gdal/pull/1377, I've made a number of changes
that
> ma
On dimanche 10 mars 2019 21:19:30 CET Zhan Zhang - NOAA Affiliate wrote:
> I have a grib2 file which contains many messages, and those messages define
> different products on different surfaces (like z axis). For
> instance, some messages defines "soil temperature"(product name) on a
> surface call
Julierme,
the issue here is that your KML file is seen as a multi-layer dataset, with
one feature per layer, so you can't use the logic you put below. You need to
merge all the layers in a single one.
You can do that with the ogrmerge.py script that comes with GDAL:
https://www.gdal.org/ogrmerge.
Markus,
yes this file has unconventionnal indexing of variables, with the fastest
varying dimension being latitude, which confuses the driver
In https://github.com/OSGeo/gdal/pull/1377, I've made a number of changes that
make support of such dataset a bit easier. I didn't go to making the drive
