Perhaps that at that point you've already saturated the bandwidth of your
storage device ?
2015-07-14 17:25 GMT+02:00 jramm :
> I have a number of vector datasets to rasterize.
>
> I am finding that when the datasets are small, I have no problem starting
> multiple gdal_rasterize processes (using
Have you tried simply gdalinfo A201504506.L2_LAC_OC.nc ?
It works for me with GDAL 1.11.2 from gisinternals.
HTH,
Andre Joost
Am 14.07.2015 um 05:58 schrieb oz:
Do you have any idea on how will I batch process gdalwarp these HDF5 files?
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I have a number of vector datasets to rasterize.
I am finding that when the datasets are small, I have no problem starting
multiple gdal_rasterize processes (using python).
If my datasets are large (I'm trying to create rasters with millions of
pixels), I'm finding that I can only start one gda
Jesse,
In fact I added the possibility of specifying warping options to
gdal.ReprojectImage() just 3 weeks ago in the development version (2.1dev)
: http://trac.osgeo.org/gdal/changeset/29424/
So if you can affort running trunk, you could benefit from that. Note that
I only tested with Python but
Hi,
Thank you for your answers. Hmm I think that approach is quite complicated
and makes my app quite messy. I would like just to stay using the Java
bindings and get some approach that works on every file I process (only few
files have this 0-360 problem). The gdal.SetConfigOption("CENTER_LONG",
