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DESCRIPTION:The ongoing practice of applying Earth Observation (EO) technol
 ogy shows greatpotential of mapping every aspect of urbanization\, hence u
 nderstanding the inter-actions\, resilience and risks at the human-environ
 ment interface. However\, derivinginformation regarding the two basic comp
 onents of risk assessment\, exposure andvulnerability\, is subject to unce
 rtainty and limited scientic validity. In this pres-entation\, I will show
 \, rst of all\, how environmental variables are mapped in generaland how i
 nformation can be uncertain due to problems of sampling and scale ofthe ta
 rget geographic patterns\, which are not discussed suciently these days. I
  willthen continue with presenting the evolution of techniques used to map
  the othercomponent\, vulnerability\, by using EO based datasets. I will e
 specially focus on theexperience in mapping urban poverty to the Global So
 uth to showcase how the re-mote sensing community has been trying to deriv
 e knowledge about socioeconomicstatus\, where I argue that the ongoing pra
 ctice of mapping socioeconomic statusmay lead to problems of reduced inter
 pretability and limited scientic validity. isargument is then followed by 
 suggested alternatives to avoid these problems as wellas inform practical 
 actions for risk management.\nFurther information:www.geographie.uni-bayre
 uth.de/de/Veranstaltungen/GIB-Lecture-Series/index.html
DTSTART;TZID=Europe/Berlin:20220517T161500
DTEND;TZID=Europe/Berlin:20220517T174500
LOCATION:INF/ AI\, H33 + online
SUMMARY:Dr. Jiong Wang\, University of Twente: Deriving information from sp
 ace for urban environmental risk management
TRANSP:TRANSPARENT
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