Geo-information Retrieval using Earth Observation Data and Statistical Modelling

Seminar/Forum

Geo-information Retrieval using Earth Observation Data and Statistical Modelling

Room C-428
Engineering Block C
University of Melbourne, Dept of Infrastructure Engg

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T: +61383442584

huik1@unimelb.edu.au

Guest seminar by Dr Jaganath Aryal

Abstract

Optimal geo-information retrieval using Earth Observation (EO) data revolutionised the space-time research and their applications. The derived knowledge and geo-products are widely used by policy makers and in diverse engineering applications. However, in advancing the spatial and temporal knowledge associated with the real-world problems, there are questions to be resolved which are fundamental in nature and involve complex spatio-temporal phenomena. These questions and problems are inherently statistical. In answering such questions and solving the problems, hierarchical thinking allows us to model spatio-temporal processes which evolve through time. This seminar presents two themes where such hierarchical thinking are translated with the use of models. The first theme is urban resilience and the second theme is natural hazard mapping and monitoring. Both themes are supported by the published scientific works. These works illustrate geo-information extraction using spatially explicit statistical models within the Artificial Intelligence for Earth Observations (AI4EO) framework. As an outlook, Hierarchical Statistical Modelling (HSM) and their application in tackling the Sustainable Development Goals (SDGs) in a transformative modular approach will be presented.

Presenter

  • Dr Jaganath Aryal
    Dr Jaganath Aryal, University of Tasmania