Hi!
This is probably getting a bit off-topic now, maybe better keep this
converation going on python-gis-sig list? I'm cc'ing there....
2009/10/27 John [H2O] <washa...@gmail.com>
> What I want to do is quite simple (I think). I simply would like to be able
> to:
>
> 1) Download any resolution of the hdf files available via :
> http://rapidfire.sci.gsfc.nasa.gov/realtime/2009XXX/ where XXX is day of
> year.
>
Basically you have the MOD021K, MOD02HK and MOD02QK data granules, plus the
MOD03 data granule. The former are the 1k, 500m and 250m data (hence the
name) and the latter is a collection of geolocation terms (imaging
geometries, etc).
You realise that these are swath data don't you? So they have no direct
information on the location of each pixel, although you can work it out from
the sensor height, attitude and so on.
2) Import the hdf into python, access the data (reproject if necessary).
> Yes, it's the merged RGB level 1 data I want to ultimately plot.
>
Importing into python is easy with GDAL. Your reprojection is a problem
because the data aren't even projected. As I said above, they are swath
observations that need to be gridded (Level 2 product).
2b) produce geotiffs for use elsewhere
>
Again, easy using GDAL (provided you don't care about using swath data, OR
that you know how to grid it).
3) Plot the data in basemap, plot some other data (my own, xy tracks,
> points, etc) over the data.
>
Again, you need to know the projection of the MODIS data for this to be of
any use.
I don't have an off-hand way of gridding the Level 1 data, but someone may
have. Other than the MS2GT <http://nsidc.org/data/modis/ms2gt/> (MODIS Swath
to Grid toolbox), there's also the information given in <
http://www.mcst.ssai.biz/mcstweb/L1B/product.html>, and I guess you could
use that as a way of developing a python MS2GT ;D
Jose
------------------------------------------------------------------------------
Come build with us! The BlackBerry(R) Developer Conference in SF, CA
is the only developer event you need to attend this year. Jumpstart your
developing skills, take BlackBerry mobile applications to market and stay
ahead of the curve. Join us from November 9 - 12, 2009. Register now!
http://p.sf.net/sfu/devconference
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
