[Qgis-user] plugin for processing multiple raster files

[Leo Kris Palao]

Thank you Etienne for your help, I'll try your suggestion. BTW, my data is
in netcdf format. I am having trouble reclassifying my data using raster
calculator when using hdf. I'll email you if I get stuck with the
processing =)

-Leo


On Thu, May 2, 2013 at 7:44 PM, Etienne Tourigny <etourigny.dev at gmail.com>wrote:

> Hi,
>
> I am not sure you need GIS tools (such as QGIS) to do this kind of thing,
> which is fairly routin in the meteorological/climate research field.
>
> My advice would be to convert the TRMM data to a single netcdf file (which
> is much more suited for temporal + spatial datasets), and then process the
> data using command-line tools like CDO or NCO. In my experience this could
> be done with just a few commands.
>
> cdo: https://code.zmaw.de/projects/cdo
> nco: nco.sourceforge.net/
>
> BTW in which format did you get the TRMM data? most likely netcdf or hdf,,,
>
> let me know privately if you need a bit more help
>
> cheers
> Etienne
>
> On Thu, May 2, 2013 at 12:59 AM, Leo Kris Palao <lk.palao at gmail.com>wrote:
>
>> Hi *QGIS users*,
>>
>> I am working with daily rainfall raster dataset of one decade acquired
>> from *TRMM*. We will use this as criteria for our suitability analysis
>> of a farming system. I want to derive the following:
>>
>> 1. Mean daily rainfall *(*output is 365 raster files (representing *day
>> 1-day 365*) with each raster file contain the *mean daily rainfall*derived from one decade of daily rainfall data for a specific day
>> *)*; and
>>  2. After computing the mean daily rainfall for one decade, I want to
>> compute the rainfall sum with the interval of 10 days (per dekad).
>>
>> is there a plugin in QGIS that I can use that will automate this process.
>> I know this is possible using a script, but I do not have a background yet
>> in scripting. Right now I am still reading Phyton programming. Also I think
>> it is possible to do this in R, but right now I am still learning R.
>>
>> Any help will be much appreciated. Thank you very much.
>>
>> -*Leo Kris Palao*
>>
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>>
>>
>
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