Date: 1st to 6th September 2025
Location: Wageningen, Netherlands
OpenGeoHub Summer School is an annual event that has been running at various locations in Europe, North America, and Australia since 2010, inviting researchers and specialists in developing open-source software and open data to help others improve analysis and modeling frameworks.
The 2025 event is organized in collaboration with EO Council and SURF. The Summer School will consist of live presentations and demos by leading EO modelers and OSGeo developers, workshops, discussion panels, machine learning competition, and several social events.
This Summer School is a not-for-profit event.
The summer school will feature an impressive lineup of lecturers. Below is the list of confirmed speakers—stay tuned for updates as more will be announced!
Application DEADLINE: 18th January 2025!
Apply now for the EO Summer School 2025 by completing the application form below. After the review process, selected candidates will receive a registration link to confirm their spot. Please note, the Summer School has a limited capacity of just 120 seats, so don’t miss your chance!
As the Summer Schools are not-for-profit events, there is a registration fee, which covers the costs of lecturers, food, coffee, venue, social events and excursion.
Applicants who are selected will be contacted with the registration link.
Accommodation will be arranged by the participants and is not included in the registration cost. However, hotel rooms will be pre-reserved for participants at the Wageningen International Congress Centre (WICC) Hotel, which is also the event venue. Participants will receive an access code to finalize their room booking. Staying at the WICC Hotel is highly convenient, as it is the same location as the event venue.
Topics of interested are focused around but not limited to (unsorted):
- AI for Earth System Sciences
- New R/Python packages and functionality, new FOSS4G software and standards
- Cloud-optimized data and geocomputation in R and/or Python
- Processing Landsat and Sentinel-2 EO archives
- Static and interactive visualization of spatiotemporal data
- Machine learning and deep learning methods for spatial and spatiotemporal data
- Interpretative machine learning for spatial data
- Reproducible Research with big data cubes
- Physics and instrumentation of EO imaging systems
- Calibration/validation, level-2 processing of EO imagery
- Wave propagation (Infrared and Microwave scattering, sensing, propagation)
- Machine Learning for Classification
- Applications in geomorphology, hydrology, vegetation science, cryoscience, ecology and climatology
- Data assimilation techniques
PhD, MSc level students and postdocs in the field of geospatial, environmental data, EO data, computer science and computer vision. Researchers part of Universities and research institutes working with processing EO data for environmental applications. Post-doctoral researchers interested in open-source geospatial tools and methods. Young scholars looking for hands-on-training courses in programming languages python, R, Julia and similar.
To reach Wageningen International Congress Centre (WICC), take a direct train from Schiphol Airport to Ede-Wageningen station. The journey takes approximately 1 hour. From Ede-Wageningen station, take bus line 86 or 303 towards Wageningen Bus Station. The bus ride takes about 25-30 minutes.
All lectures will be video-recorded using Zoom webinar functionality in HD quality. Subject to approval of the presenters, the videos will be uploaded to https://av.tib.eu/publisher/OpenGeoHub_Foundation and a DOI will be assigned to each talk. Lecturers will be asked to accept the general recording conditions and sign a document allowing for videos to be shared. Copyright of the video’s will be assigned to authors / presenters as in standard Open Access materials.
Watch previous Summer School recordings:
Summer School 2023
