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Seminar series #5: Earth Observation Images and Intelligent Methods in Developing Building Footprint Inventories: A Sustainable City Planning Lens

BannerSeminar Series 5
  • Date

    23 Jul 2024

  • Organiser

    Research Centre for Artificial Intelligence in Geomatics

  • Time

    15:00 - 16:00

  • Venue

    Z414 Map  

Speaker

Dr. Jagannath Aryal

Remarks

All are welcome! Please register now to join us on-site!

Summary

Sustainable city planning and optimal land use design are becoming challenges considering environmental sustainability, urban growth, and citizen science. Earth observation images contribute significantly to prepare accurate inventories of buildings and their varieties in addressing such challenges. However, despite the efforts to design and manage urban buildings using Earth Observation images, a significant knowledge gap exists in developing the spatial building ecosystem of current urban building management system. This presentation aims to bridge that gap by developing analytics on representative urban building footprint datasets, with a particular focus on improving data quality. For example, the off-nadir imagery, omission/commission errors, and positional. Traditionally, building footprint datasets are generated either independently or in collaboration with public and private organizations to enhance urban community life. However, these datasets often suffer from the aforementioned issues, which need to be addressed to improve urban policy making. The analytics provide valuable insights and the propose a comprehensive spatial building ecosystem, helping to establish an operational framework for urban infrastructure by leveraging Earth observation images and intelligent methods to support sustainable city planning.

 

Poster

Keynote Speaker

Dr. Jagannath Aryal

Associate Professor
Department of Infrastructure Engineering
The University of Melbourne

Dr. Jagannath Aryal received his PhD degree in Optimisation and Systems Modelling. He is currently an Associate Professor in the Department of Infrastructure Engineering at The University of Melbourne. He is leading a research group on Earth Observation and AI. Professionally, he leads the GIS, digital analytics and remote sensing, area of practice of the Geospatial Council of Australia, the peak professional body representing the geospatial sector as a national chair. He is the program director of the Master of Digital Infrastructure Engineering and Graduate Certificate Degrees. He currently serves to the global remote sensing community as a leading academic and an Associate Editor of IEEE Transactions on Geoscience and Remote Sensing (TGRS) journal. His research focuses on optimal utilisation of Earth Observation, geo-information, and geo-statistics to develop new methods in object recognition and geospatial situational awareness in disaster and emergency situations. The objects of interest derived from sensing technology (Ground / Satellite based) are applied in modelling and mapping various environmental systems taking sustainability and resilience into account.

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