Hello Ivan,

ReprojectImage() has a parameter psOptions()
http://www.gdal.org/gdalwarper_8h.html#ad36462e8d5d34642df7f9ea1cfc2fec4
It should accept any of the warping options, e.g. '-tps'
http://www.gdal.org/gdalwarp.html

I'm not 100% sure (since I'm using Python) but it may work.


I'll take this chance also to promote Nansat, a scientist-friendly Python tool for working with satellite and model data:
Repo: https://github.com/nansencenter/nansat
Wiki: https://github.com/nansencenter/nansat/wiki
and API-rference: http://nansencenter.github.io/nansat/

It is a wrapper around GDAL, which adds scientific meaning to the opened images. Briefly: GDAL doesn't know much about e.g. band 22 in a MERIS image, Nansat does. It provides full information and allows simple usage, e.g.:
n = Nansat(meris_image)
n.reproject(dstDomain, tps=True)
n.export('outFile.nc')

It can open MERIS as well as tens of other formats.


Best regards!
Anton

On 02/17/2014 10:46 AM, Ivan Price 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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