[gdal-dev] reprojecting coastcolour (/meris) using python via GCPs

[Etienne Tourigny]

As far as I know, the gdal warp api is not exposed to python.

I have no idea on reading the MERIS data with the gdal netcdf driver - what
I the problem?

But you might be able to use this workaround: instead of creating a source
dataset using the memory driver, create a file on disk (in gtiff format)
with GCPS and write data to disk, and then use gdalwarp on that.

Etienne


On Mon, Feb 17, 2014 at 6:46 AM, Ivan Price <Ivan.Price at noveltis.fr> wrote:

>
>
> Hello,
>
>
>
> I am trying to reproject a window inside a coastcolour (=MERIS) image. As
> far as I can see GDAL cannot read the coastcolour data directly, so i am
> reading the coastcolour netcdf in python, building a source dataset using
> the memory driver, adding GCPS (1 for every 10th pixel) and writing the
> data to it, then reprojecting the source dataset to a destination dataset
> which is a spatial subset of the original in wgs84 lat/long.
>
>
>
> This works fine and is relatively fast, but the reprojection is not
> accurate, the results are out by about 6-10 pixels (in various directions).
> On reading the forums it seems if i was using gdalwarp i would be using
> -tps, however the ReprojectImage() function does not seem to offer this
> parameter ? And i don't have the option of using the commandline tool as
> even gdal 1.10 cannot recognise the coastcolour data.
>
>
>
> So i guess i have 2 questions.. has anyone had any success reading
> coastcolour data with the gdal command line tools, and secondly:
>
>
>
> how can i get ReprojectImage() to be more accurate, given i have a GCP for
> every pixel ?
>
>
>
> thanks and regards,
>
>
>
> -ivan
>
>
>
>
>
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