Difference between revisions of "FOSS4G-Europe 2018 Code sprint"
Wiki-Jachym (talk | contribs) |
|||
| Line 40: | Line 40: | ||
| 4 || [[User:Raymondnijssen|Raymond Nijssen]] || rnijssen terglobo nl || QGIS | | 4 || [[User:Raymondnijssen|Raymond Nijssen]] || rnijssen terglobo nl || QGIS | ||
|- | |- | ||
| − | | 5 || Add you name here || email || projet(s) | + | | 5 || [[User:Jachym|Jachym Cepicky]] || jachym.cepicky gmail || PyWPS |
| + | |- | ||
| + | | 6 || Add you name here || email || projet(s) | ||
|+ | |+ | ||
|} | |} | ||
Revision as of 03:58, 4 July 2018
Code Sprint
Venue: Universidade do Minho, Guimarães, Portugal
We are following the tradition of hosting a code sprint right after FOSS4G-Europe 2018.
The code sprint will be held on Friday and Saturday, 20 and 21 of July, 2018 at the University of Minho, in Guimarães, Portugal.
Participation in the code sprint is free of charge and all folks currently involved or interested in getting involved in OSGeo community projects are welcome.
If you plan to attend, please signup in the table below. If you are unable to sign up, send us a message to foss4g-europe@osgeopt.pt.
The Codesprint Organizing Team is looking forward to your coming!
In summary:
When
- Friday, 20 of July, 2018 (9am to 17h00)
- Saturday, 21 of July, 2018 (9am to 17h00)
Where
- Departamento de Sistemas de Informação, Universidade do Minho, Guimarães. [Show on OpenStreetMap]
Registered Attendees
| No | Name | Projects | |
|---|---|---|---|
| 1 | Jorge Gustavo Rocha | jgr geomaster pt | QGIS, OpenDroneMap |
| 2 | Astrid Emde | astrid_emde@osgeo.org | Mapbender, OSGeoLive, OSGeo |
| 3 | Luigi Pirelli | luipir gmail com | QGIS |
| 4 | Raymond Nijssen | rnijssen terglobo nl | QGIS |
| 5 | Jachym Cepicky | jachym.cepicky gmail | PyWPS |
| 6 | Add you name here | projet(s) |
Projects
Add your project here
Add some tasks to work on the code sprint.
OpenDroneMap
For those interested in drone imagery, we will have a drone available to fly on Friday and Saturday. The goal is to get an orthophoto and a point cloud from the images taken by the drone.
If someone can bring a decent GPS, we can use ground control points and add them to the processing workflow.