Yongze Song Geography & Sustainability
Yongze Song

Yongze Song

Associate Professor

School of Design and the Built Environment

Curtin University

Perth, 6102, WA, Australia

Email: yongze.song@curtin.edu.au

"I am seeking highly motivated students with a keen interest in geospatial theories and methods." – Join us

Research Excellence
Research excellence in sustainable infrastructure
Spatial Methods
30+ new spatial methods and 12 R packages
Geospatial Intelligence Lab
Geospatial Intelligence Lab
Recent High Impact Articles
Recent High Impact Articles

Awards and Professional Services

Australian Young Tall Poppy Science Award, Australian Institute of Policy & Science, 2025. Curtin News, AIPS News, Curtin News
Fellow of Royal Geographical Society, United Kingdom, 2020
Fellow of DAAD AInet, Germany, 2023
Fellow of SDL, Harvard University, United States, 2024
Committee Member of the International Association for Mathematical Geosciences (IAMG), 2022
IEEE Senior Member, 2024
Member of the International Society for Photogrammetry and Remote Sensing (ISPRS), WG IV/2, 2022
Geospatial World 50 Rising Stars, 2023
Global Top 10 Young Scientist Award, 2021
World's Top 2% Scientists by Stanford University, 2023, 2024
Global Impact Award, Curtin University, 2024
Research Excellence Award – Early Career Researcher, Curtin University, 2023
Research Excellence and Impact Award (Finalist), Curtin University, 2025
Chair. ISPRS Technical Commission IV Symposium, 22-25 Oct 2024, Perth, Australia
Chair. City+2023@Perth International Conference, 8-10 Sept 2023, Perth, Australia
Tutorial and Education Chair. 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3-8 August 2025, Brisbane, Australia
Logistics Chair. Australasian Joint Conference on Artificial Intelligence (AJCAI) 2022, 5-8 Dec 2022, Perth, Australia
Special Issue Editor (SIE), Associate Editor – International Journal of Applied Earth Observation and Geoinformation. IF 8.6. Q1
Associate Editor – GIScience & Remote Sensing. IF 6.9. Q1
Topic Editor – Geoscientific Model Development. IF 4.9. Q1
Special Issue Editor (SIE) – Geomatica
Associate Editor – All Earth. IF 2.6. Q2
Editor – Journal of Spatial Science. IF 1.7. Q2
Editorial Board Member – Geo-spatial Information Science. IF 5.5. Q1
Editorial Board Member – iScience (Cell Press). IF 4.1. Q1
Editorial Board Member – International Journal of Digital Earth. IF 4.9. Q1
Editorial Board Member – Annals of GIS. IF 3.3. Q1
Editorial Board Member – Humanities and Social Sciences Communications (Nature). IF 3.6. Q1
Editorial Board Member – Remote Sensing. IF 4.1. Q1
Editorial Board Member – ISPRS International Journal of Geo-Information. IF 2.8. Q2
Editorial Board Member – Frontiers in Environmental Science. IF 3.7. Q2
Editorial Board Member – Resources, Environment and Sustainability. IF 7.8. Q1
Editorial Board Member – The Innovation Informatics
Special Thanks Award: The 35th Australasian Joint Conference on Artificial Intelligence, 2022
Chinese Government Award for Outstanding Self-Financed Students Abroad (top 0.1% globally), 2019
Chancellor Commendation Award for exceptionally high standard in the PhD thesis, 2019
Global Peer Review Award: Top reviewers in Geosciences (top 1%) and Cross-field (top 1%), 2019
Australian National First Prize: Location Data First Prize, 2016

Teams

Geospatial Intelligence Lab, Curtin University Spatial Data Lab, Harvard University Curtin's Remote Sensing & Satellite Research Group (RSSRG) International Society for Spatial Methods Pathways to Net Zero Precincts, RACE for 2030 Curtin Calendar 2025-2028

Trainings and Presentations

Lecture series: Geospatial Data Analysis, Prediction, and GeoAI: New Theories, Methods, and Software. 4 Jan 2026. Lecture materials

Harvard Spatial Data Lab (SDL) 2025 Monthly Webinars on Spatiotemporal Innovation. Summary and video recordings

IEEE IGARSS Summer School Training Materials, 31 July – 8 August 2025, Brisbane, Australia: https://ausgis.github.io/igarss25ss/

Spatiotemporal Innovation Summer School, Harvard University, 16-19 July 2024, Boston, US. Spatial Prediction: New Methods and R Packages