Topics Webinar | EO&GEO Series: GIS Day - GeoAI and the Future of Spatial Analytics
Part of the MDPI Topics Webinars series
20 Nov 2024, 06:00 (CET)
GeoAI, Voxel-Based Modelling, Multi-model Learning, Geospatial Analysis, Spatial Intelligence
Welcome from the Chair
It is a great pleasure to welcome you to the special webinar to commemorate Geographic Information Systems (GIS) Day ((https://www.gisday.com/en-us/overview). The webinar is organized by the MDPI open-access journal ISPRS International Journal of Geo-Information to encourage scientists to raise awareness about the importance of geography and GIS technology.
GIS Day is a very special day to celebrate and enjoy all of the exciting GIS activities and projects that have been conducted and accomplished over the year. GIS Day provides an international forum for learners, scholars, and practitioners of geographic information science and technology to demonstrate real-world applications that are making a difference in our society.
The first formal GIS Day took place in 1999. Esri president and co-founder Jack Dangermond credits Ralph Nader with being the person who inspired the creation of GIS Day. Nader considered GIS Day a good initiative for people to learn about geography and the uses of GIS and wanted GIS Day to be a grassroots effort that was open to everyone.
The Webinar title this year is “GeoAI and the Future of Spatial Analytics”. We have invited three distinguished scholars to deliver presentations. Let’s celebrate GIS Day together.
Date: 20 November 2024 at 06.00 a.m. CET | 12:00 a.m. EST | 1:00 p.m. CST Asia
Webinar ID: 885 5794 5831
Webinar Secretariat: journal.webinar@mdpi.com
Event Chair
School of Surveying and Built Environment, University of Southern Queensland, Queensland, Australia
Dr. Dev Raj Paudyal has worked as a University Lecturer at the School of Surveying and Built Environment, University of Southern Queensland (UniSQ), Australia, since 2011. Dr Paudyal holds an M.Sc. in Geoinformation Management (with a specialisation in Land Administration) from ITC, the Netherlands, and a Ph.D. from the University of Southern Queensland (UniSQ), Australia. He worked as a Research Scholar at the Graduate School of Design, Harvard University (2015–2016). Dr Paudyal served as the President of the International Geospatial Society (2013–2015) and Co-Chair of the International Society for Photogrammetry and Remote Sensing (ISPRS)-WGIV/4: (Geospatial Data Infrastructure, 2012–2016). He has been working as Co-Chair of ISPRS-WGIV/4 (SDI: Internet of Things and Spatial Decision Support) and was a Board Director of the Global Spatial Data Infrastructure (GSDI) Association and a delegate of the GSDI Association Council. In addition to this, Dr Paudyal is a member of the International Society for Photogrammetry and Remote Sensing (ISPRS), a member of the International Global Navigation Satellite Systems (GNSS) group, a member of the Mixed Methods International Research Association (MMIRA), and a life member of the Nepal Photogrammetry and Remote Sensing Society. He is Associate Editor of ISPRS International Journal of Geo-Information (IJGI). Dr Paudyal has more than 25 years of professional and research experience, including 10 years of full-time industry experience in Nepal's Survey Department (National Mapping Agency) and 15 years of teaching and research experience in Australia, India, and Nepal. He has supervised twenty-five successful postgraduate and honours students and is currently supervising eight PhD students and five honours students. Dr Paudyal has also been consulted on SDI, application of geospatial information in disaster risk management, land administration, and spatial data management by the Ministry of Land Reform and Management, Kathmandu University, Tribhuwan University, Institute of Engineering, and the World Bank.
Keynote Speakers
School of Geographical Sciences and Urban Planning, Arizona State University, USA
Reproducibility and Replicability of Geospatial Artificial Intelligence
Dr. Wenwen Li is a Professor of Geospatial Data Science in the School of Geographical Sciences and Urban Planning at Arizona State University, where she directs the Cyberinfrastructure and Computational Intelligence (CICI) Lab and serves as the Research Director for the Spatial Analysis Research Center (SPARC). Her research interests include cyberinfrastructure, big data, geospatial artificial intelligence (GeoAI), and their applications in data- and computation-intensive environmental and social sciences.
GRID, School of Built Environment, University of New South Wales, Australia
The Power of Voxel Modelling for 3D Data Integration and Analysis
Dr. Sisi Zlatanova is a SHARP Professor at the University of New South Wales (UNSW). Faculty of Arts, Design and Architecture, Head of the Geospatial Research, Innovation and Development (GRID) lab and an Adjunct professor at RMIT, Australia. Her research interests are in 3D modelling: integration of BIM and GIS, 3D Indoor modelling, 3D representations and 3D data management. She is actively involved in the activities of the OGC and ISO and leading the development of the OGC standard IndoorGML. She is the President of ISPRS TC IV ‘Spatial Information Science’ (2022-2026) and founder of 3DGeoIno, Gi4DM and Indoor3D. She is Editor of several journals and special issues, has more than 550 scientific publications and 23 books. She is listed in the Stanford World’s Top 2% Scientists. With a team of excellent researchers, she is advancing Spatial Digital Twins for monitoring and 3D analysis of urban environments.
School of Design and the Built Environment, Curtin University, Australia
Heterogeneity in Geospatial Artificial Intelligence
Dr. Yongze Song is a Senior Lecturer at Curtin University. Yongze is a Fellow of the Royal Geographical Society (UK), DAAD AInet (Germany), and the Spatial Data Lab (Harvard University, United States), an IEEE Senior Member, and a Committee Member of the International Association for Mathematical Geosciences (IAMG). Dr. Yongze leads the Geospatial Intelligence Lab and has developed more than 20 new geospatial models and 9 open-source software tools, with over 150,000 downloads worldwide, to advance the understanding of geospatial data and promote sustainable development. He has published over 80 peer-reviewed journal articles, including 8 highly cited papers. He has received more than ten international and national awards, including the Geospatial World 50 Rising Stars Award, the Global Top 10 Young Scientist Award, recognition as one of Stanford’s list of World’s Top 2% Scientists, and the Australian National Location Data First Prize. He is the Associate Editor of 5 international journals and an Editorial Board Member of 14 reputable international peer-reviewed journals. He has served as a Chair or Program Committee Member for more than 20 international conferences, including his role as the General Chair for the ISPRS TC IV Symposium (2024) and the City+ International Conference (2023). Yongze has been invited to present more than 70 research seminars in university and industry contexts worldwide, including lectures at Harvard University and talks at MIT and Yale University.
Program
Speaker/Presentation |
Time in CET |
Dr. Dev Raj Paudyal Chair Introduction |
6:00 am - 6:10 am |
Dr. Wenwen Li Reproducibility and Replicability of Geospatial Artificial Intelligence |
6:10 am - 6:30 am |
Dr. Sisi Zlatanova The Power of Voxel Modelling for 3D Data Integration and Analysis |
6:30 am - 6:50 am |
Dr. Yongze Song Heterogeneity in Geospatial Artificial Intelligence |
6:50 am - 7:10 am |
Q&A Session | 7:10 am - 7:25 am |
Dr. Dev Raj Paudyal Closing of Webinar |
7:25 am - 7:30 am |
Relevant Special Issues
Spatial Information for Improved Living Spaces
Guest Editors: Dr. Ivana Ivánová, Dr. Yongze Song and Prof. Dr. Sisi Zlatanova
Deadline for Manuscript Submissions: 25 October 2025
Problem-Driven Geospatial Data Acquisition, Tools and Applications in Earth Observation
Guest Editors: Dr. Artan Hysa, Dr. Pai-Hui Hsu and Dr. Yongze Song
Deadline for Manuscript Submissions: 30 April 2025
Relevant Papers
Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
ISPRS Int. J. Geo-Inf. 2023, 12(2), 64; https://doi.org/10.3390/ijgi12020064
Understanding the Spatial–Temporal Patterns of Floating Islands Impacting the Major Dams of the White Nile
Remote Sens. 2023, 15(9), 2304; https://doi.org/10.3390/rs15092304