### Data Science for Earth Observation: Hands-on Training in Python, R and Julia
### Date: 17β21 August 2026
**Location: Istanbul, Turkey**
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OpenGeoHub Summer School is an annual event that has been running at various locations in Europe, Canada, and Australia since 2010.
Every year, we invite researchers and specialists who we think are especially active (and successful) in developing open source software and open data, and helping other researchers improve their analysis and modeling frameworks.
The 2026 edition is organized in collaboration with **Istanbul Technical University, Faculty of Aeronautics and Astronautics.** The Summer School consists of live presentations and demos by leading EO modelers and OSGeo developers, workshops, discussion panels, machine learning competition, and several social events.
Hackathons are organized under the EU-funded Open-Earth-Monitor project. This project has received funding from the European Unionβs Horizon Europe research and innovation programme under grant agreement No. 101059548.
**This Summer School is a not-for-profit event.**
APPLY NOW!
### Jointly organized by
##### Hackathons
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### Time Frame
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### Applications
Apply now! After we close applications, a judging committee selects the best candidates. Only selected candidates will receive a registration link to confirm their spot.
APPLY NOW!
###### Application Deadline: 15 MARCH 2026
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### Registration Fees
Applicants who are selected will be contacted with the registration link.
#### EARLY BIRD FEES
### Full-time students
ODA countries including Turkey
β¬355
β¬ 265
* __ Access to the summer school
* __ Social events
* __ Exclusive price
Opening soon
### Full-time students
β¬450
β¬ 355
* __ Access to the summer school
* __ Social events
* __ Exclusive price
Opening soon
### Academic staff
Universities, research organizations
β¬650
β¬ 475
* __ Access to the summer school
* __ Social events
* __ Exclusive price
Opening soon
### Commercial
Participants / Companies
β¬950
β¬ 750
* __ Access to the summer school
* __ Social events
* __ Exclusive price
Opening soon
#### REGULAR FEES
### Full-time students
ODA countries including Turkey
β¬450
β¬ 355
* __ Access to the summer school
* __ Social events
* __ Full price
After early bird
### Full-time students
β¬ 450
* __ Access to the summer school
* __ Social events
* __ Full price
After early bird
### Academic staff
Universities, research organizations
β¬ 650
* __ Access to the summer school
* __ Social events
* __ Full price
After early bird
### Commercial
Participants / Companies
β¬ 950
* __ Access to the summer school
* __ Social events
* __ Full price
After early bird
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. Please read our cancellation policy before communicating the event to your budget holder.
**Applicants who are selected are contacted with the registration link.**
_**Accommodation and travel**_ is to be arranged by the participants and is not included in the registration cost.
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### Lecturers
Discover the initial lineup of lecturers for the Summer School. More to be announced soon!β
### Melike Nikbay
Istanbul Technical University
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### Serkan Girgin
University of Twente
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### Esra Erten
Istanbul Technical University
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### Jakub Nowosad
University of Muenster
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### Leandro Parente
OpenGeoHub Foundation
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### Furkan Celik
University of Twente
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### Mustafa Serkan Isik
OpenGeoHub Foundation
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### Maarten Pronk
Deltares
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### Daniel Loos
Max Planck Institute for Biogeochemistry
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### Krzysztof Dyba
Adam Mickiewicz University
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### Giulio Genova
OpenGeoHub Foundation
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### Yufeng Ho
OpenGeoHub Foundation
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### Mateo Moreno
OpenGeoHub Foundation
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### Kaan Kalkan
TUBITAK UZAY (Space Technologies Research Institute)
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### Adam J. Stewart
Technical University of Munich
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### Who is it for?
We kindly invite PhD- and MSc-level students and postdocs in the fields of geospatial and environmental data, EO data, computer science, and computer vision. We also encourage researchers at universities and research institutes who work with EO data processing for environmental applications, as well as postdoctoral researchers interested in open-source geospatial tools and methods. Young scholars seeking hands-on training in programming languages such as Python, R, Julia, and similar languages are especially welcome.
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### Program (mock-up)
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### Venue - Istanbul Technical University, Faculty of Aeronautics and Astronautics
#### How to reach ITU Faculty of Aeronautics and Astronautics ?
Istanbul Technical Universityβs AyazaΔa Campus is located on the European side of Istanbul and is conveniently accessible from Istanbul Airport (IST) by metro, airport shuttle buses, or taxi/ride-hailing. Typical travel times vary with traffic and time of day.
**1) Metro (Subway) β Recommended for Predictability **
A metro station (M11 metro line) is located at Istanbul Airport. Take the metro from the airport to Gayrettepe station. At Gayrettepe, transfer to the M2 metro line and continue to Δ°TΓβAyazaΔa station, which serves the campus directly. This option is generally the most reliable because it is less affected by road traffic.
**2) HAVAIST Airport Shuttle + Metro β Convenient and Direct**
HAVAIST buses operate approximately every hour and typically take 40 minutes to 1 hour (depending on traffic) to reach 4. Levent. From 4. Levent metro station, take the metro to Δ°TΓβAyazaΔa (approximately 10 minutes). This is a practical option if you prefer a dedicated airport shuttle before switching to rail.
**3) Taxi / Uber β Most Direct (Traffic-Dependent)**
Taxis and ride-hailing services (e.g., Uber) can take you directly from Istanbul Airport to ITU AyazaΔa Campus. The journey usually takes 45 minutes to 1 hour, but it can be longer during peak traffic. The estimated cost is typically β¬40ββ¬50, depending on traffic conditions and pricing at the time of travel.
### Frequently Asked Questions (FAQ) β Ticket Categories
____ 1. What are the different ticket categories available?
We offer three types of registration fees:
* **Full-time Student:** Available for students who are not employed by a funding agency. A valid student ID or official proof of enrollment is required.
* **Academic or Research Organization Staff:** For individuals working in academic institutions or research organizations.
* **Commercial Participant:** Designed for professionals from the commercial sector who wish to participate.
**Important:** We will conduct cross-checks to verify that the selected fee is applicable. If incorrect information is provided, your registration may be cancelled.
____ 2. What does the registration fee cover?
The registration fee is charged on a **cost-recovery basis** and covers:
βοΈ Lecturer fees
βοΈ Venue costs
βοΈ Meals during the event
π« It **does not** cover accommodation or travel expenses. Participants must arrange these separately.
____ 3. How do I qualify for the reduced student fee?
###### To be eligible for the **full-time student fee** , you must:
β
Be enrolled as a full-time student.
β
Not be employed by a funding agency, university or private/public organization.
β
Provide official proof, such as a student ID, proof of enrollment, tuition fee receipt and/or registration document.
π’ **Note:** We will verify student status. Any deliberate misrepresentation may result in losing your spot at the Summer School.
____ 4. How can I pay for my registration?
You can complete your registration fee payment through our secure online platform:
π Pretix Registration Page (coming soon)
____ 5. What happens if I miss the payment deadline?
If payment is not received by May 23rd, 2026, your spot will be automatically given to someone on the waiting list.
____ 6. Can I get a refund if I cancel my registration?
Refunds are subject to our Cancellation Policy. Please review it before making your payment.
____ 7. How can I book accommodation for the event?
We recommend booking as early as possible. Please take a look at the suggested accommodation.
____ 8. Who can I contact for more information?
For general questions, please reach out to our Event, Communication, and Media Office at: events@opengeohub.org
____ 9. Which meals are included in the registration fee?
Only coffee breaks and lunches are included. Breakfasts, dinners and any other side costs must be arranged by each student.
____ 10. Should I stay until the 21st or 22nd of August?
**The academic program and lectures will end on the 21st of August**. On Saturday, the 22nd of August, we will have a half-day excursion into nature. We suggest you stay until then to enjoy the full program we have prepared.
____ 11. What do I need to do if I need a visa?
Please send an email to events@opengeohub.org. We will provide you with an invitation letter **ONLY AFTER you have paid the registration fees**.
IMPORTANT: Visa processing times often take a long time. We strongly recommend you start your visa application process as soon as possible and preferably, before May, at the latest.
We do not take responsibilty for rejected visa applications. Not obtaining your visa on time is not a valid reason for cancellation after the unconditional period of cancellation, so please consider that before taking any action.
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### Watch previous Summer School recordingsβ
Watch the video recordings of keynotes, workshops and oral presentations from the EO Summer School 2025.
## EO Summer School 2025
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#### Edzer Pebesma: Cloud based analysis of Earth Observation data using open source software
37:46
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#### Nico Lang: Learning From Global Earth Observation Data
26:55
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#### Sander Houweling: Data use in remote sensing of the atmosphere
42:34
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#### Edzer Pebesma: Raster and vector data cubes in R and Python
1:26:35
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#### Nico Lang: Learning Representations From Engineering Features to Engineering Pretext Tasks
33:59
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#### Leandro Parente: Monitoring global grassland and pasture areas An integrated approach
30:43
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#### Yu Feng Ho: Introduction of cloud native vector format hands on in Python environment
1:27:09
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#### Yu-Feng Ho: Geomorphometry high performance computing using GRASS GIS, and WhiteboxTools in Python
1:27:40
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#### Maarten Pronk: An introduction to Julia
1:26:01
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#### Maarten Pronk: Interactive geomorphometry in Julia and Less distorted analyses of EO data using DGGS
1:17:56
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#### Luis de Sousa: Introduction to GRASS GIS as a spatial analysis engine
1:28:21
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#### Luis de Sousa: GRASS GIS automation for Earth Observation with Python, R and Julia
1:27:27
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#### Wouter van der Wal: Introduction to the EO Council
26:28
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#### Haili Hu: Introduction to SURF
23:04
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#### Marc Middendorp: Introduction to NSO
21:40
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#### NSO Companies Fair Networking borrel
1:21:01
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#### Sander Houweling: Data use in remote sensing of the atmosphere
42:34
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#### Pratichhya Sharma: Introduction to openEO within the Copernicus Data Space Ecosystem
25:24
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#### Pratichhya Sharma: Advanced EO Workflows with Custom Functions in openEO within CDSE
1:20:57
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#### Ad Stoffelen: Observing earth system dynamics on weather and climate scales
56:15
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#### Leandro Parente: AutoML Automating machine learning applied to areal regression modeling
1:34:58
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#### Davide Consoli: Space time mapping at 30 m resolution based on Landsat ARCO data
1:09:10
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#### Krzysztof Dyba: Automatic acquisition and processing of satellite data in R
1:02:38
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#### Serkan Isik: Crash course on Google Earth Engine API
1:17:15
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#### Paco Lopez Dekker: Synthetic Aperture Radar system specifications and performance trade offs
1:05:53
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#### Ralf Kohlhaas: Passive optical instruments for Earth Observation
38:37
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#### Serkan Girgin: Monitoring EO workflows with precision for better performance & resource utilization
1:25:09
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#### Pontus Lurcock: Application Packages in the xcube ecosystem
1:12:25
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#### Jochen Landgraf: The Radiative Transfer Theory
56:03
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#### Lu Zhou: Cryosphere Tutorial in Python
1:20:21
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#### Krzysztof Dyba: Land Use and Land Cover Classification with Satellite Image Time Series in R
1:22:10
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#### Jeroen Rietjens: Processing PACE data with Python get a polarized hyperspectral view of the Earth
1:13:12
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#### Jochen Landgraf: Greenhouse Gas Remote Sensing using Absorption Spectroscopy Hands on experience
1:26:48
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#### Luis de Sousa: Discrete Global Grid Systems Awareness raising about the future of GIS
55:06
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#### Tom Hengl: Spatiotemporal ML 15 practical lessons on how to organize monitoring modelling
28:27
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#### Deborah C. Stein Zweers: What does high resolution mean? Space-based spectrometry for air quality
1:08:05
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#### Tom Hengl & Alexandre Wadoux: terra package / generating sampling designs using R
1:35:56
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### Code of conduct
Please read the Summer School Code of Conduct carefully before participating.
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