Hi Akbar,
thanks for pointing it out. I am aware of this plugin, however I never
managed to have it working and it strongly relates to the Earth
Observation Application Profile of the WCS 2.0 standard. Part of the
project could be also to extend this plugin to a more general solution
and a working one.
Cheers,
Julia
P.S. Please let me know if you manage to work with the plugin
Am 17/03/2017 um 11:40 schrieb Akbar Gumbira:
Hi Julia,
- Plugin for WCS2.0 in QGIS
QGIS supports by default Web Coverage Service 1.0. A project could
be to develop a plugin for supporting Web Coverage Service 2.0 in
QGIS.
I am not sure since I just reinstalled my machine and I can't try it
now (I am building QGIS 2.18 now), but it seems that someone already
builds the plugin (?) (https://plugins.qgis.org/plugins/QgsWcsClient2/)
Cheers
On Wed, Mar 15, 2017 at 7:53 AM, Julia Wagemann <[email protected]
<mailto:[email protected]>> wrote:
Hi all,
my name is Julia Wagemann and I saw the call of OSGeo for Mentors
for GSoC. I had a look to the proposed projects and I would be
interested to be a mentor. I further have two ideas for projects
and Helmut advised me to discuss these within the QGIS developers
mailing list
My background is in Environmental Informatics and I am currently
working at the European Centre for Medium-Range Weather Forecasts
in a project where we explore the opportunity to provide a more
standardised and easier access to our data with the help of a OGC
Web Coverage Service. I have experience with QGIS and lately, I am
working a lot with Jupyter Notebooks.
I have two ideas for projects for students to work on during GSoC:
- Plugin for WCS2.0 in QGIS
QGIS supports by default Web Coverage Service 1.0. A project could
be to develop a plugin for supporting Web Coverage Service 2.0 in
QGIS.
- Examples of geospatial workflows in Jupyter Notebooks
I am a strong advocate of Jupyter Notebooks and one project could
be, in alignment with the project proposed for GRASS GIS (adding
functionality for running GRASS GIS modules in Jupyter Notebooks),
to develop a set of used-cases to show how Jupyter Notebooks are
beneficial for the generation of entire geospatial data analysis
workflows, from data access to data manipulation and data
visualisation. Examples could harness QGIS, and in the best case,
open data.
What is you opinion about the suggestions and would you be
interested in co-mentoring one of those?
Thanks and I look forward to hearing from you.
Best regards,
Julia
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*-------------------*
*Akbar Gumbira *
*www.akbargumbira.com <http://www.akbargumbira.com>*
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