[SciPy-User] MODIS data and true-color plotting
Mon Nov 14 05:56:00 CST 2011
> 2 - I'm trying to get ocean color variables through pyhdf package, but I'm
>> still working on.
>> If you have any advance, post here your feedback, please.
> Which level of product are you working with? Once I figure out true-color
> plotting, I am going to bring cloud effective radius data from MOD06 [
I'm have working with l2 processed images by SeaDAS. It has many flags
over bash shell, and is much funcional. But the rest of process working I
am trying to run over python instead matlab.
Chlorophyll and Rrs match up, relations with empirical algorithm and
>> *Arnaldo D'Amaral Pereira Granja Russo*
>> Lab. de Estudos dos Oceanos e Clima
>> Instituto de Oceanografia
>> Universidade Federal do Rio Grande
>> e-mail arnaldorusso [at] gmail [dot] com
>> tel (53) 3233-6855
>> 2011/11/13 Gökhan Sever <firstname.lastname@example.org>
>>> Hello groups,
>>> I have two questions about working with MODIS data.
>>> 1-) Is there any light Pythonic HDF-EOS wrapper to handle HDF-EOS data
>>> other than PyNIO [http://www.pyngl.ucar.edu/Nio.shtml] Although, I have
>>> managed to install that package from its source, it took me many hours to
>>> figure out all the installation quirks. Something simpler to build and
>>> mainly for HDFEOS data??
>>> 2-) Another similar question: Has anybody attempted to create true-color
>>> MODIS images (like the ones shown at [
>>> http://rapidfire.sci.gsfc.nasa.gov/realtime/]) in Python? So far, I
>>> have seen one clear tutorial [
>>> ftp://ftp.ssec.wisc.edu/pub/IMAPP/MODIS/TrueColor/] to create natural
>>> color images, but uses ms2gt [http://nsidc.org/data/modis/ms2gt/], NDVI
>>> and IDL. Except the reflectance correction via NDVI, ms2gt and IDL parts
>>> seem to be implemented in Python.
>>> Till now, I have some progress combining GOES imagery with aircraft
>>> data. My next task is to combine MODIS data with aircraft and radar data. I
>>> would be happy to get some guidance and code support if there is any
>>> previous work been done using Python.
>>> SciPy-User mailing list
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