BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Dies Academicus: Antrittsvorlesung von Prof. Dr. Christian Geiß
DTSTART;TZID=Europe/Berlin:20241204T131500
DTEND;TZID=Europe/Berlin:20241204T140000
DTSTAMP:20260408T125236Z
UID:40ef453294e644649c06ad376676b47b@www.geographie.uni-bonn.de
CATEGORIES:mittwochs
CREATED:20240925T131245Z
DESCRIPTION:Multimodal Earth Vision and Artificial Intelligence Techniques
  for Natural Hazard Risk and Impact Assessment \n\nGlobal changes encompas
 s human-driven alterations to the Earth system. These changes include incr
 easing urbanization and the frequent increase of exposure and vulnerabilit
 y with respect to natural hazards such as earthquakes\, tsunamis\, or floo
 d events. Existing models often allow solely a very coarse estimation of r
 isks as they rely on either highly aggregated or outdated input data. This
  situation is exacerbated as urbanization processes dramatically reshape s
 ettlement areas within a very short timeframe. Consequently\, it is often 
 challenging to quantify and anticipate the risks and potential consequence
 s of natural hazards. In this context\, we demonstrate the use of artifici
 al intelligence techniques in conjunction with innovative geospatial data 
 for natural hazard risk and impact assessment.
LAST-MODIFIED:20250906T011834Z
URL:https://www.geographie.uni-bonn.de/de/veranstaltungen/copy15_of_-1
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:STANDARD
DTSTART:20241027T020000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
END:VTIMEZONE
END:VCALENDAR