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BEGIN:VEVENT
DTSTAMP:20220812T074335Z
LOCATION:Osaka Room
DTSTART;TZID=Europe/Stockholm:20220629T143000
DTEND;TZID=Europe/Stockholm:20220629T150000
UID:submissions.pasc-conference.org_PASC22_sess168_msa189@linklings.com
SUMMARY:Novel Data Fusion Framework for Classifying Heterogeneous Cities o
 f the Global South
DESCRIPTION:Minisymposium\n\nNovel Data Fusion Framework for Classifying H
 eterogeneous Cities of the Global South\n\nBardhan\n\nIntra-urban variatio
 ns are an essential parameter for deriving a city’s sustainability asymmet
 ries, variability of climate-related risks and resilience and ultimately d
 eciding future climate actions. Yet techniques to robustly classify intra-
 urban forms automatically from open-source database remains fuzzy. Given t
 hat future urbanization and serve impacts from climate change will mainly 
 concentrate on cities of Global South where cities are heterogeneous and l
 ack 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 us
 ing open-source databases. The geo-spatial data fusion framework will be d
 emonstrated for Mumbai in India to classify urban forms that correspond to
  differential microclimates and socio-economic populations. The open-sourc
 e database will include pdf maps available from government reports and aca
 demic papers. This talk endeavours to demonstrate the power of data-driven
  methods for developing decarbonization policies and climate-proofing acti
 ons in data-scarce cities.\n\nDomain: Climate, Weather and Earth Sciences,
  Computer Science and Applied Mathematics, Humanities and Social Sciences,
  Engineering
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