Earth Observation Summer School 2026 - OpenGeoHub Foundation: Connect | Create | Share | Repeat Location: Istanbul, Turkey

Applications are still open for Earth Observation Summer School 2026

📅 17–21 Aug 2026, Istanbul, Turkey
⏳ Registration deadline: 15 Mar 2026
🔗 opengeohub.org/2026/01/29/e...

#EarthObservation #OpenSource #RStats #GeoPython #JuliaGeo

### Data Science for Earth Observation: Hands-on Training in Python, R and Julia ### Date: 17—21 August 2026 **Location: Istanbul, Turkey** 0 Months 0 Days 0 Hours 0 Minutes 0 Seconds 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 Union’s 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 __ ### Time Frame __ ### 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 __ ### Registration Fees Applicants who are selected will be contacted with the registration link. #### EARLY BIRD FEES ### Full-time students ODA countries including Turkey €355 € 265 * __ Access to the summer school * __ Social events * __ Exclusive price Opening soon ### Full-time students €450 € 355 * __ Access to the summer school * __ Social events * __ Exclusive price Opening soon ### Academic staff Universities, research organizations €650 € 475 * __ Access to the summer school * __ Social events * __ Exclusive price Opening soon ### Commercial Participants / Companies €950 € 750 * __ Access to the summer school * __ Social events * __ Exclusive price Opening soon #### REGULAR FEES ### Full-time students ODA countries including Turkey €450 € 355 * __ Access to the summer school * __ Social events * __ Full price After early bird ### Full-time students € 450 * __ Access to the summer school * __ Social events * __ Full price After early bird ### Academic staff Universities, research organizations € 650 * __ Access to the summer school * __ Social events * __ Full price After early bird ### Commercial Participants / Companies € 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. __ ### Lecturers Discover the initial lineup of lecturers for the Summer School. More to be announced soon!” ### Melike Nikbay Istanbul Technical University LinkedIn Profile ### Serkan Girgin University of Twente LinkedIn Profile ### Esra Erten Istanbul Technical University LinkedIn Profile ### Jakub Nowosad University of Muenster LinkedIn Profile ### Leandro Parente OpenGeoHub Foundation LinkedIn Profile ### Furkan Celik University of Twente LinkedIn Profile ### Mustafa Serkan Isik OpenGeoHub Foundation LinkedIn Profile ### Maarten Pronk Deltares LinkedIn Profile ### Daniel Loos Max Planck Institute for Biogeochemistry LinkedIn Profile ### Krzysztof Dyba Adam Mickiewicz University LinkedIn Profile ### Giulio Genova OpenGeoHub Foundation LinkedIn Profile ### Yufeng Ho OpenGeoHub Foundation LinkedIn Profile ### Mateo Moreno OpenGeoHub Foundation LinkedIn Profile ### Kaan Kalkan TUBITAK UZAY (Space Technologies Research Institute) LinkedIn Profile ### Adam J. Stewart Technical University of Munich LinkedIn Profile __ ### 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. __ ### Program (mock-up) __ ### Venue - Istanbul Technical University, Faculty of Aeronautics and Astronautics #### How to reach ITU Faculty of Aeronautics and Astronautics ? Istanbul Technical University’s Ayazağa 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) — 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 İTÜ–Ayazağa 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 — 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 İTÜ–Ayazağa (approximately 10 minutes). This is a practical option if you prefer a dedicated airport shuttle before switching to rail. **3) Taxi / Uber — Most Direct (Traffic-Dependent)** Taxis and ride-hailing services (e.g., Uber) can take you directly from Istanbul Airport to ITU Ayazağa Campus. The journey usually takes 45 minutes to 1 hour, but it can be longer during peak traffic. The estimated cost is typically €40–€50, depending on traffic conditions and pricing at the time of travel. ### Frequently Asked Questions (FAQ) – 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: ✔️ Lecturer fees ✔️ Venue costs ✔️ Meals during the event 🚫 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: ✅ Be enrolled as a full-time student. ✅ Not be employed by a funding agency, university or private/public organization. ✅ Provide official proof, such as a student ID, proof of enrollment, tuition fee receipt and/or registration document. 📢 **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: 🔗 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. __ ### Watch previous Summer School recordings​ Watch the video recordings of keynotes, workshops and oral presentations from the EO Summer School 2025. ## EO Summer School 2025 __ ____ #### Edzer Pebesma: Cloud based analysis of Earth Observation data using open source software 37:46 ____ #### Nico Lang: Learning From Global Earth Observation Data 26:55 ____ #### Sander Houweling: Data use in remote sensing of the atmosphere 42:34 ____ #### Edzer Pebesma: Raster and vector data cubes in R and Python 1:26:35 ____ #### Nico Lang: Learning Representations From Engineering Features to Engineering Pretext Tasks 33:59 ____ #### Leandro Parente: Monitoring global grassland and pasture areas An integrated approach 30:43 ____ #### Yu Feng Ho: Introduction of cloud native vector format hands on in Python environment 1:27:09 ____ #### Yu-Feng Ho: Geomorphometry high performance computing using GRASS GIS, and WhiteboxTools in Python 1:27:40 ____ #### Maarten Pronk: An introduction to Julia 1:26:01 ____ #### Maarten Pronk: Interactive geomorphometry in Julia and Less distorted analyses of EO data using DGGS 1:17:56 ____ #### Luis de Sousa: Introduction to GRASS GIS as a spatial analysis engine 1:28:21 ____ #### Luis de Sousa: GRASS GIS automation for Earth Observation with Python, R and Julia 1:27:27 ____ #### Wouter van der Wal: Introduction to the EO Council 26:28 ____ #### Haili Hu: Introduction to SURF 23:04 ____ #### Marc Middendorp: Introduction to NSO 21:40 ____ #### NSO Companies Fair Networking borrel 1:21:01 ____ #### Sander Houweling: Data use in remote sensing of the atmosphere 42:34 ____ #### Pratichhya Sharma: Introduction to openEO within the Copernicus Data Space Ecosystem 25:24 ____ #### Pratichhya Sharma: Advanced EO Workflows with Custom Functions in openEO within CDSE 1:20:57 ____ #### Ad Stoffelen: Observing earth system dynamics on weather and climate scales 56:15 ____ #### Leandro Parente: AutoML Automating machine learning applied to areal regression modeling 1:34:58 ____ #### Davide Consoli: Space time mapping at 30 m resolution based on Landsat ARCO data 1:09:10 ____ #### Krzysztof Dyba: Automatic acquisition and processing of satellite data in R 1:02:38 ____ #### Serkan Isik: Crash course on Google Earth Engine API 1:17:15 ____ #### Paco Lopez Dekker: Synthetic Aperture Radar system specifications and performance trade offs 1:05:53 ____ #### Ralf Kohlhaas: Passive optical instruments for Earth Observation 38:37 ____ #### Serkan Girgin: Monitoring EO workflows with precision for better performance & resource utilization 1:25:09 ____ #### Pontus Lurcock: Application Packages in the xcube ecosystem 1:12:25 ____ #### Jochen Landgraf: The Radiative Transfer Theory 56:03 ____ #### Lu Zhou: Cryosphere Tutorial in Python 1:20:21 ____ #### Krzysztof Dyba: Land Use and Land Cover Classification with Satellite Image Time Series in R 1:22:10 ____ #### Jeroen Rietjens: Processing PACE data with Python get a polarized hyperspectral view of the Earth 1:13:12 ____ #### Jochen Landgraf: Greenhouse Gas Remote Sensing using Absorption Spectroscopy Hands on experience 1:26:48 ____ #### Luis de Sousa: Discrete Global Grid Systems Awareness raising about the future of GIS 55:06 ____ #### Tom Hengl: Spatiotemporal ML 15 practical lessons on how to organize monitoring modelling 28:27 ____ #### Deborah C. Stein Zweers: What does high resolution mean? Space-based spectrometry for air quality 1:08:05 ____ #### Tom Hengl & Alexandre Wadoux: terra package / generating sampling designs using R 1:35:56 __ ### Code of conduct Please read the Summer School Code of Conduct carefully before participating. __ ### Discover Previous Summer Schools * * Posted by Gulten Inan January 29, 2026 14 min read #### Earth Observation Summer School 2026 Summer School * * Posted by Gulten Inan December 11, 2024 12 min read #### Opengeohub Summer School Wageningen 2025 Summer School * * Posted by Lea Zamuner November 10, 2022 10 min read #### OpenGeoHub Summer School Poznan 2023 Summer School * * Posted by Valentina Delconte April 29, 2022 24 min read #### OpenGeoHub Summer School Siegburg 2022 Summer School Post Views: 3,039 Spread the love

Applications are still open for Earth Observation Summer School 2026

📅 17–21 Aug 2026, Istanbul, Turkey
⏳ Registration deadline: 15 Mar 2026
🔗 opengeohub.org/2026/01/29/earth-observa...

#EarthObservation #OpenSource #RStats #GeoPython #JuliaGeo

Summer school poster with dates and location

Apply now to be part of Earth Observation Summer School 2026
Learn Earth observation using Python, R, and Julia

📅 17–21 Aug 2026, Istanbul, Turkey
🔔 Registration deadline: 15 Mar 2026
🔗 opengeohub.org/2026/01/29/e...

#EarthObservation #OpenSource #RStats #GeoPython #JuliaGeo

Summer school poster with dates and location

Apply now to be part of Earth Observation Summer School 2026
Learn Earth observation using Python, R, and Julia

📅 17–21 Aug 2026, Istanbul, Turkey
🔔 Registration deadline: 15 Mar 2026
🔗 opengeohub.org/2026/01/29/earth-observa... […]

[Original post on fosstodon.org]

We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.

URL: doi.org/10.5311/JOSI...

#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo

We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems.

URL: https://doi.org/10.5311/JOSIS.2025.31.462

#SpatialDataScience #GISchat #OpenSource #RSpatial #GeoPython #JuliaGeo

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: geocompx.org/post/2025/up...

#rstats #rspatial #geopython

✨What’s new in geocomputation this year?

The #geocompx 2025 update covers project milestones, current work, and future plans.

URL: https://geocompx.org/post/2025/updates-2025/

#rstats #rspatial #geopython

8  Making maps with Python – Geocomputation with Python An introductory resource for working with geographic data in Python

Chapter 8 of Geocomputation with Python is all about cartography:

🎨 Designing maps
🖼️ Static maps with .plot & rasterio.plot.show
🌐 Interactive maps with .explore

👉 py.geocompx.org/08-mapping

#GeoPython #Python #GISchat #geocompx

Chapter 8 of Geocomputation with Python is all about cartography:

🎨 Designing maps
🖼️ Static maps with .plot & rasterio.plot.show
🌐 Interactive maps with .explore

👉 https://py.geocompx.org/08-mapping

#GeoPython #Python #GISchat #geocompx

GitHub - developmentseed/lonboard: A Python library for fast, interactive geospatial vector data visualization in Jupyter. A Python library for fast, interactive geospatial vector data visualization in Jupyter. - developmentseed/lonboard

This looks interesting — Lonboard 0.13 just dropped and now supports H3, S2, Geohash, and even A5 layers. Lots of new ways to explore geospatial grids in Python.
#GIS #GeoPython #Lonboard - github.com/developments...

A discrete global grid (DGG) is a mosaic that covers the entire Earth’s surface. Mathematically it is a space partitioning.

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

A discrete global grid (DGG) is a mosaic that covers the entire Earth’s surface. Mathematically it is a space partitioning.

What are the most exciting trends you’re seeing in spatial data science lately?
Some of mine:

- New file formats (e.g. #GeoParquet)
- Geospatial DBs (e.g. #DuckDB + spatial)
- Global discrete grids

What would you add?

#Geospatial #GISchat #RSpatial #GeoPython

7  Geographic data I/O – Geocomputation with Python An introductory resource for working with geographic data in Python

Chapter 7 of Geocomputation with Python shows how to:

🔹 Find spatial datasets (geoportals & download tools)
🔹 Work with different file formats (strengths & limits)
🔹 Read & write vector + raster files efficiently

👉 py.geocompx.org/07-read-write

#GeoPython #Python #GISchat #geocompx

Chapter 7 of Geocomputation with Python shows how to:

🔹 Find spatial datasets (geoportals & download tools)
🔹 Work with different file formats (strengths & limits)
🔹 Read & write vector + raster files efficiently

👉 https://py.geocompx.org/07-read-write

#GeoPython #Python #GISchat #geocompx

Confused about coordinate reference systems (CRSs)? 🧭🌍🐍

Chapter 6 of geocompy dives into:

- Geographic vs projected CRSs (lon/lat vs meters)
- Getting, setting & reprojecting CRSs
- Why ignoring CRSs can break your analysis 🚨

👉 py.geocompx.org/06-reproj

#GeoPython #Python #GISchat #geocompx

Confused about coordinate reference systems (CRSs)? 🧭🌍🐍

Chapter 6 of Geocomputation with Python dives into:

- Geographic vs projected CRSs (lon/lat vs meters)
- Getting, setting & reprojecting CRSs
- Why ignoring CRSs can break your analysis 🚨

👉 […]

[Original post on fosstodon.org]

5  Raster-vector interactions – Geocomputation with Python An introductory resource for working with geographic data in Python

Working with raster + vector together in Python? 🗺️🌍🐍

Chapter 5 of geocompx talks about:

- Cropping & masking rasters with vectors
- Extracting raster values via vector data
- Raster ↔️ vector conversion (polygonize & rasterize)

👉 py.geocompx.org/05-raster-ve...

#GeoPython #Python #GISchat

Working with raster + vector together in Python? 🗺️🌍🐍

Chapter 5 of geocompx talks about:

- Cropping & masking rasters with vectors
- Extracting raster values via vector data
- Raster ↔️ vector conversion (polygonize & rasterize)

👉 https://py.geocompx.org/05-raster-vector

#GeoPython #Python […]

4  Geometry operations – Geocomputation with Python An introductory resource for working with geographic data in Python

Want to transform the geometry of spatial data in Python? ✨🌍🐍

Chapter 4 of geocompy covers:

- Vector: simplify, buffer, centroid, clip, unions, affine transforms
- Raster: crop, resample, aggregate, align datasets

👉 py.geocompx.org/04-geometry-...

#GeoPython #Python #GISchat #geocompx

Want to transform the geometry of spatial data in Python? ✨🌍🐍

Chapter 4 of geocompy covers:

- Vector: simplify, buffer, centroid, clip, unions, affine transforms
- Raster: crop, resample, aggregate, align datasets

👉 https://py.geocompx.org/04-geometry-operations

#GeoPython #Python #GISchat […]

3  Spatial data operations – Geocomputation with Python An introductory resource for working with geographic data in Python

Spatial operations in Python? 📍🌍🐍

Chapter 3 of Geocomputation with Python covers:

- Vector: spatial joins, subsetting, aggregation, etc.
- Raster: map algebra (local, focal, zonal, global), tiling & merging

👉 py.geocompx.org/03-spatial-o...

#GeoPython #Python #GISchat #geocompx

Spatial operations in Python? 📍🌍🐍

Chapter 3 of Geocomputation with Python covers:

- Vector: spatial joins, subsetting, aggregation, etc.
- Raster: map algebra (local, focal, zonal, global), tiling & merging

👉 https://py.geocompx.org/03-spatial-operations

#GeoPython #Python #GISchat #geocompx

Working with geospatial attribute data in Python? 📊🌍🐍

Chapter 2 of Geocomputation with Python covers subsetting, aggregation & joins for vector data, and subsetting + summarizing raster values.

👉 py.geocompx.org/02-attribute...

#GeoPython #Python #GISchat

Working with geospatial attribute data in Python? 📊🌍🐍

Chapter 2 of Geocomputation with Python covers subsetting, aggregation & joins for vector data, and subsetting + summarizing raster values.

👉 https://py.geocompx.org/02-attribute-operations

#GeoPython #Python #GISchat

Starting out with geographic data in Python? 🌍🐍

Chapter 1 of Geocomputation with Python introduces vector & raster models + core tools (geopandas, shapely, rasterio).

👉 py.geocompx.org/01-spatial-d...

#GeoPython #Python #GISchat

Starting out with geographic data in Python? 🌍🐍

Chapter 1 of Geocomputation with Python introduces vector & raster models + core tools (geopandas, shapely, rasterio).

👉 https://py.geocompx.org/01-spatial-data

#GeoPython #Python #GISchat

🌍 Call for Papers! Submit to the Progress in Physical Geography special issue:
Coding Earth: Open Source Solutions in Physical Geography

📅 Deadline: 18 Dec 2025
🔗 journals.sagepub.com/home/ppg

#OpenSource #OpenScience #GISchat #RSpatial #GeoPython

🌍 Call for Papers! Submit to the Progress in Physical Geography special issue:
Coding Earth: Open Source Solutions in Physical Geography

📅 Deadline: 18 Dec 2025
🔗 journals.sagepub.com/home/ppg

#OpenSource #OpenScience #GISchat #RSpatial #GeoPython

Geodata File formats: PMTiles: PMTiles is a general format for tile data addressed by Z/X/Y coordinates. This can be cartographic vector tiles, remote sensing data, JPEG images or similar. HTTP Range Reque...

We have added several geopython libraries: www.python4data.science/en/latest/da...
#Python #Geospatial #GeoPython