Date: 14 – 15 July 2025
Location: Z205, Block Z, The Hong Kong Polytechnic University
The Research Centre for Artificial Intelligence in Geomatics and Jockey Club STEM Lab of Earth Observations at the Hong Kong Polytechnic University will hold a two-day workshop and tutorial. This international workshop explores the forefront of geospatial artificial intelligence (GeoAI) advancements and applications in planetary, ecosystems, infrastructure and cities. In an era where artificial intelligence (AI) is revolutionizing the fields of Earth observations, earth and environmental sciences, urban and sustainability sciences, the workshop immerses participants in cutting-edge AI technologies and recent advancements, demonstrates their applications to complex geospatial problems, and guides the derivation of meaningful scientific insights.
The tutorial sessions will be dedicated to hands-on learning and experiments, enabling interested participants to develop technical skills and apply GeoAI methods effectively. These practical sessions will expose attendees to diverse and unconventional applications, cutting-edge AI techniques, and grounded exercises designed to bridge theory with real-world implementation. It further serves as a platform for idea exchange and sparkling among young researchers.
Overall, this international event provides a unique opportunity to connect active researchers—from young scholars and students, rising stars to senior experts—from Hong Kong, Asia, and the globe. Participants will collaborate with leading experts in GeoAI and relevant fields, fostering innovation, building professional networks, and developing leadership skills in a rapidly evolving time of AI-enhanced geospatial research and education.
Tutorial
I. Population mapping
- Foundations of population mapping
- Dasymetric mapping – a mapping method with ancillary data
- Data source introduction
- Dasymetric mapping practice on ArcGIS/Python
II. Infrastructure detection and mapping
- Introduction to high-density CityScene
- Pre-processing: Streamline the Lidar data
- Feature engineering and embedding
- Multi-scale urban infrastructure detection on Python
III. Foundation models for Earth Vision
- Introduction to the overall procedure
- Briefly introduce foundation model and efficient parameter fine-tuning
- Learn Linux systems and deploy virtual environments
- Model training and inference
IV. Urban mapping
- Introduction to overall procedure
- Preprocessing and downloading remote sensing data (GEE / Colab)
- Data organization and AI model deployment (Google Drive)
- Perform inference task and produce data (Colab)
V. GeoAI in Climate and Agriculture
- Role of evapotranspiration (ET) in agriculture.
- Estimation and retrieval methods of evapotranspiration.
- Machine Learning for Evapotranspiration Estimation.
- Physics-Informed Neural Networks for ET Estimation.
Important Notes
Requirement for attending tutorials:
It is desirable that participants for attending the tutorials have a background in geographic analysis and Python programming.
Application for workshop and tutorials:
To apply, please register and settle the payment via this form: Click here. Application will be open until all seats are filled. Participants are responsible for their own travel and lodging expenses. Please contact info.poleis@polyu.edu.hk for questions.
Frequently Asked Questions & Answers:
Q1: Who should attend the tutorials?
A1: These sessions are designed for:
- Students, researchers, or professionals with a background in geographic analysis or Python programming
- Industry partners, policymakers, or enthusiasts interested in geospatial tools, data analysis, or technical skill development.
Q2: How much is the registration fee of a tutorial?
A2: It’s HKD300 per tutorial.
Q3: How much is the registration fee of the entire workshop (excluding tutorials)?
A3: Two-day: It’s HKD3000 (regular), HKD2000 (students). One day: It’s HKD1500 (regular), HKD1000 (students).
*Registration fee includes keynote sessions, technical sessions and working lunch.
Q4: How to pay the registration fee?
A4: The payment instruction will be sent to the registers later.
Q5: What is the event’s registration cancellation policy?
A5: The tutorial fee will be refunded only if the registered tutorial does not launch due to insufficient enrollment.
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