Novel Data Fusion Framework for Classifying Heterogeneous Cities of the Global South
Presenter
DescriptionIntra-urban variations are an essential parameter for deriving a city’s sustainability asymmetries, variability of climate-related risks and resilience and ultimately deciding future climate actions. Yet techniques to robustly classify intra-urban forms automatically from open-source database remains fuzzy. Given that future urbanization and serve impacts from climate change will mainly concentrate on cities of Global South where cities are heterogeneous and lack appropriate database for inter-urban classification. Therefore, it is exigent to develop characterizing methods with open-source data sets. This talk will explore a novel geo-spatial data fusion framework for the intra-urban characterization of heterogeneous cities in the developing world using open-source databases. The geo-spatial data fusion framework will be demonstrated for Mumbai in India to classify urban forms that correspond to differential microclimates and socio-economic populations. The open-source database will include pdf maps available from government reports and academic papers. This talk endeavours to demonstrate the power of data-driven methods for developing decarbonization policies and climate-proofing actions in data-scarce cities.
TimeWednesday, June 2914:30 - 15:00 CEST
LocationOsaka Room
Session Chair
Event Type
Minisymposium
Climate, Weather and Earth Sciences
Computer Science and Applied Mathematics
Humanities and Social Sciences
Engineering