[Incubator] motion: wradlib application / community module
bruce.bannerman.osgeo at gmail.com
Mon Aug 29 14:18:12 PDT 2016
Processing of radar imagery is important for a wide range of meteorological and other domain use cases.
However, I question the rationale behind this approach.
This type of analytical process is not trivial. Rather than re-invent the wheel here it may be better to extend libraries that specialise in spatial and image analysis.
The project is doing this already with GDAL.
A good example analytical framework that may be a sound base would be Grass. They already have algorithms for processing radar imagery e.g. . Grass also has python bindings.
For workflow processing there are also other options, e.g. build on QGIS, pyWPS or a number of other WPS libraries.
> From: Incubator <incubator-bounces at lists.osgeo.org> on behalf of Jody Garnett <jody.garnett at gmail.com>
> Sent: Saturday, 27 August 2016 9:12:05 PM
> To: incubator at lists.osgeo.org
> Subject: [Incubator] motion: wradlib application / community module
> Good Afternoon from the Bonn code sprint!
> I am hanging out Kai Mühlbauer, a member of the wradlib project - which focuses on weather radar data processing. The application was lost in trac (I should be checking it more often - sigh).
> - https://trac.osgeo.org/osgeo/ticket/1644
> In speaking with Kai it sounds like this would be a great community project - at least to start out with.
> Motion: Accept wradlib project into the OSGeo Community Project program.
> Jody Garnett
> Incubator mailing list
> Incubator at lists.osgeo.org
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