About the school
Earth Observation and GeoAI for Climate-Resilient Urban Systems is an advanced school designed to equip the next generation of researchers, practitioners, and decision-makers with state-of-the-art Earth Observation (EO), geospatial artificial intelligence (GeoAI), and data fusion methodologies to analyze, quantify, and mitigate climate-driven risks and effects in urban systems.
Within this framework, climate-resilient Urban Systems are understood as complex socio-technical systems composed of buildings, critical infrastructure, transportation networks, public spaces, and human communities. The program emphasizes how Earth Observation (EO), multi-sensor data fusion (including optical, SAR, and microwave EO), geospatial artificial intelligence (GeoAI), and participatory sensing can be integrated to strengthen urban resilience under conditions of climate change and multi-hazard exposure.
The school combines expert lectures, structured hands-on laboratories, and a Digital City Studio living-lab experience to advanced EO analytics, GeoAI model development, and operational decision-making contexts. Participants will work with satellite imagery (Sentinel, Landsat, SAR, microwave missions), airborne data, in-situ measurements, geo-social media data and human-generated datasets using open-source tools and AI-driven methodologies to develop scalable scalable, explainable, and transferable workflows for urban risk intelligence, infrastructure vulnerability assessment, and climate perception analysis.
Learning Outcomes
By the end of the school, participants will be able to:
- Analyze and quantify climate-related hazards affecting built environments using multi-source Earth Observation datasets (including optical, SAR, and climate data).
- Design and implement multimodal workflows integrating satellite, in-situ, and human-generated data.
- Understand the value of GeoAI-based methodologies for analysing geo-social media data to deconstruct climate perception, narratives, and socio-environmental interactions in urban contexts.
- Develop AI-based classification models for disaster damage and infrastructure vulnerability assessment.
- Adapt remote sensing methodologies to low-resource and humanitarian contexts using open-access tools.
School Program
Important Dates
| Milestone | Date |
|---|---|
| Application Opens | 01 June 2026 |
| Application Deadline | 15 July 2026 |
| Review & Selection Period | 16 – 31 July 2026 |
| Notification of Acceptance | 01 August 2026 |
| Confirmation by Participants | 08 August 2026 |
| Travel Grant Decisions | 10 August 2026 |
| Final Participant List | 15 August 2026 |
| Event Dates | 14–16 October 2026 |
Speakers
Will be updated soon
Travel Guideline
Travel Grant Guidelines
Participants selected for travel support under the IEEE GRSS School on Earth Observation and GeoAI for Climate-Resilient Urban Systems must comply with the following travel grant guidelines and reimbursement policies.
Eligible Expenses
Subject to available funding and prior approval, travel grants may cover:
- Standard/economy-class travel expenses (air, train, or bus)
- Travel between the participant’s city of residence and Linz, Austria
- Local public transportation related to participation in the school
- Accommodation during the official school period in a standard 3-star hotel, student accommodation, or hostel
Travel Requirements
- Participants must use the most direct, economical, and reasonable route of travel.
- Only standard/economy-class fares are eligible for reimbursement.
- Business-class, first-class, or premium travel upgrades will not be reimbursed.
- All travel arrangements should be cost-effective and compliant with the organizer’s reimbursement policies.
Local Transportation in Linz
- Public transportation expenses within Linz (e.g., tram, bus, or local train) are eligible for reimbursement.
- Taxi, ride-sharing, and private transportation expenses will not be reimbursed.
Reimbursement Policy
- Travel grants are provided as reimbursement after the event and are subject to available funding.
- Reimbursement requests must include original receipts, proof of payment, and boarding passes or travel tickets where applicable.
- Only expenses incurred during the official event period will be considered eligible.
- Participants are responsible for arranging their own travel, accommodation, visa, and insurance.
Participation Requirements
- Grant recipients are expected to attend the full duration of the school and actively participate in all sessions and activities.
- The organizers reserve the right to partially reimburse expenses or decline reimbursement for costs that do not comply with the stated guidelines.
The organizers reserve the right to determine the level of support awarded to each recipient based on available funding, applicant needs, and selection outcomes.
Eligibility
Applicants must:
- Apply for in-person participation
- Be students, early-career researchers, or young professionals
- Demonstrate a basic background in GIS and/or programming
- Submit a complete application, including motivation statement and CV
Selection Criteria
Travel grants will be awarded based on the following factors:
1. Motivation and Relevance
- Quality and clarity of the motivation statement
- Alignment of applicant’s work/interests with Earth Observation, GeoAI, and climate-resilient urban systems
- Potential to benefit from and contribute to the summer school
2. Academic and Professional Merit
- Educational background and research experience
- Demonstrated engagement in relevant domains (EO, geospatial analytics, urban/climate studies)
- Supporting evidence from CV
3. Financial Need
- Clear justification for requiring financial support
- Lack of alternative funding sources
4. Diversity and Inclusion
- Priority may be given to:
- Applicants from low- and middle-income countries
- Underrepresented groups in geospatial and AI fields
Candidates from resource-constrained institutions
Essential Info
Find all the key information about accommodation, travel tips, and what to expect when visiting Linz, Austria’s third-largest city and a former European Capital of Culture.
Accommodation
Please note that participants are responsible for arranging their own accommodation during the Summer School. Below are some recommended options in Linz, listed by proximity to the Summer School venue:
Sommerhaus Hotel | Linz – Our top recommendation, located just a 5-minute walk from the Summer School venue.
Harry’s Home – Approximately 2-minute walk from the venue.
Bildungshaus Sankt Magdalena – Approximately 30 minutes away by public transportation; website in German only.
Mama Muh Linz – Approximately 30 minutes away by public transportation.
Other accommodation options:
Entry Regulations
If you hold a valid residence permit from another Schengen country, or if you are a citizen of a country with visa-free entry to Austria, you do not need a visa to enter Austria for stays of up to 90 days within a 180-day period.
If this does not apply to you, you will need to apply for a Visa C at the appropriate Austrian embassy or consulate in your country of residence. For detailed information on visa types and application procedures, please refer to: Visa C or Visa D
Visa processing times can vary depending on your location and the time of year, especially during peak travel seasons. To avoid delays, we strongly recommend applying at least four weeks before your planned travel date. You should begin your visa application process as soon as you receive your official confirmation email from us.
Please note that we are unable to provide direct support for visa applications or communicate with embassies on your behalf. If a visa is required for your travel, it is your responsibility to make the necessary arrangements independently. We recommend contacting the appropriate embassy or consulate as early as possible to ensure a smooth process.
Please note: If you are unable to attend due to visa issues, we are unfortunately unable to offer a refund.
About Linz
How to travel to Linz: How to travel to Linz » Linz Tourismus | Welcome to Linz!
Discover Linz: Discover Linz » Linz Tourismus | Welcome to Linz!
Organizers
Organizing committee
Bernd Resch, Martin Sudmanns, Shaily Gandhi, Karima Hadj-Rabah, Getachew Gella, Pawel Netzel, Sigmund Kluckner
Selection committee
Shaily Gandhi, Bernd Resch, Martin Sudmanns, Karima Hadj-Rabah, Getachew Gella, Pawel Netzel, Sigmund Kluckner, Ferdinando Nunziata, Emanuele Santi
Sponsorship and funding committee
Daniel Cracau, Peter Weixelbaumer, Ines Neuhuber
Publicity and Web Committee
Gentrit Dibrani, Quang T. Pham, Lena Thalhammer, Ortrun Schandl
Organizing institution
IT:U – Interdisciplinary Transformation University Austria


