Hi Joaquim,<br><br><div class="gmail_quote">On 24 October 2011 13:56, Joaquim Luis <span dir="ltr"><<a href="mailto:jluis@ualg.pt">jluis@ualg.pt</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
Anton,<br>
<br>
I don't remember the details because I programmed that some time ago, but from what I recall that's the most accurate way of interpolating the data into a regular grid. The whole procedure is implemented in Mirone were the x,y,z triplets (computed after the cnt_pt_col|row) are reinterpolated with minimum curvature or nearneighbor algorithms to calculate a regular grid. Now, this used to work with temperature data but it didn't anymore with that chlorophyll file (Mirone stand-alone crashed) . The implementation use a Matlab hdf reader MEX and that MEX of the time of ML6.5 crashes. New versions work okay but I cannot used them in the Mirone stand-alone so I though in using GDAL (as I do in many other instances), except that ... it doesn't work too.</blockquote>
<div><br></div><div>I think that GDAL doesn't do the 1D datasets you find in some products (MODIS MOD09XX springn to mind). Here's a message I sent to the list in 2008, and a reply from F Warmerdam on it. I ended up using pyhdf in the end: </div>
<div><<a href="http://osgeo-org.1803224.n2.nabble.com/HDF-V-and-VR-components-td2032993.html">http://osgeo-org.1803224.n2.nabble.com/HDF-V-and-VR-components-td2032993.html</a>></div><div><br></div></div>