Understanding building energy efficiency and tree preservation order by using administrative/emerging urban big data and deep learning

Qunshan Zhao (University of Glasgow)

Monday 14th November 13:00-14:00 Maths 311B

Abstract

Nowadays, digital footprints data (geospatial data, commercial and transactional data, sensor and image data) have been widely generated and produced in our daily life. However, how to effectively use these new forms of urban big data has remained unclear and needs further exploration. In this presentation I will introduce two pieces of recent research around using street view/satellite image data and traditional administrative data to understand building energy efficiency in Glasgow and identify protected trees in the greater London area.

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