17 May 2017 | Daniel Nüst, Markus Konkol, Marc Schutzeichel
Yesterday the o2r team met for the second time with a group of experts to request feedback on the state of the project.
Image is licensed under a CC BY-NC-ND 4.0 International license.
Thanks to the valuable questions and comments by our external partners, the project tasks were assessed and refocussed. On top of it, we agreed to collaborate even further and sketched first ideas for putting o2r’s prototypes into real-world settings.
10 May 2017 | Daniel Nüst
This week o2r participates in another conference, which is partly a repetition but also a contrast to the last one:
Again, o2r team members (Markus and Daniel) are fortunate to co-organize a workshop about reproducible research: “Reproducible Geosciences Discussion Forum” at the 20th AGILE International Conference on Geographic Information Science in Wageningen, The Netherlands, took place yesterday. Read the short recap on the workshop website.
Daniel will also present…
03 May 2017 | Daniel Nüst, Vicky Steeves, Rémi Rampin
At last week’s EGU general assembly members of the o2r and ReproZip projects organized the short course “Reproducible computational research in the publication cycle”. This post is a recap of the course by Daniel Nüst, Vicky Steeves, and Rémi Rampin.
All materials for the course are published in an Open Science Framework repository at https://osf.io/umy6g/ and you can learn about the motivation for the course in the course page at EGU.
The short was divided into two parts:…
30 Mar 2017 | Daniel Nüst
We are happy to announce that o2r team member Daniel published a new article together with Christian Knoth in the journal Remote Sensing. The special issue “Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning” comprising six papers was published in connection with the 6th GEOBIA conference (2016), where Daniel and Christian’s work was previously honoured with the best student paper award.
The article Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers is available as Open Access: doi:10.3390/rs9030290
Knoth, C., Nüst, D., 2017. Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers. Remote Sensing 9, 290. doi:10.3390/rs9030290