BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Vienna BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260526T063349Z UID:5AAA4DDC-2B7C-4E0A-8903-685F32158F1B DTSTART;TZID=Europe/Vienna:20261014T090000 DTEND;TZID=Europe/Vienna:20261016T180000 DESCRIPTION:[]\n\nEarth Observation and GeoAI for Climate-Resilient Urban S ystems is an advanced school designed to equip the next generation of rese archers\, practitioners\, and decision-makers with state-of-the-art Earth Observation (EO)\, geospatial artificial intelligence (GeoAI)\, and data f usion methodologies to analyze\, quantify\, and mitigate climate-driven ri sks and effects in urban systems.\n\nWithin this framework\, climate-resil ient Urban Systems are understood as complex socio-technical systems compo sed of buildings\, critical infrastructure\, transportation networks\, pub lic spaces\, and human communities. The program emphasizes how Earth Obser vation (EO)\, multi-sensor data fusion (including optical\, SAR\, and micr owave EO)\, geospatial artificial intelligence (GeoAI)\, and participatory sensing can be integrated to strengthen urban resilience under conditions of climate change and multi-hazard exposure.\n\nThe school combines exper t lectures\, structured hands-on laboratories\, and a Digital City Studio living-lab experience to advanced EO analytics\, GeoAI model development\, and operational decision-making contexts. Participants will work with sat ellite imagery (Sentinel\, Landsat\, SAR\, microwave missions)\, airborne data\, in-situ measurements\, geo-social media data and human-generated da tasets using open-source tools and AI-driven methodologies to develop scal able scalable\, explainable\, and transferable workflows for urban risk in telligence\, infrastructure vulnerability assessment\, and climate percept ion analysis.\n\nRoom: Gold\, Bldg: IT:U Research Campus\, Freistädter St r. 400\, OG1 4040 Linz\, Linz\, Oberosterreich\, Austria\, 4040 LOCATION:Room: Gold\, Bldg: IT:U Research Campus\, Freistädter Str. 400\, OG1 4040 Linz\, Linz\, Oberosterreich\, Austria\, 4040 ORGANIZER:shaily.gandhi@gmail.com SEQUENCE:19 SUMMARY:Earth Observation and GeoAI for Climate-Resilient Urban Systems GRS S School URL;VALUE=URI:https://events.vtools.ieee.org/m/557406 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="line-height: norm al\; margin: 12.0pt 0cm 12.0pt 0cm\;"><img src="https://events.vtools.ieee .org/vtools_ui/media/display/afea1a8d-917f-4ac5-82c8-dbe37095e684" alt="" width="1000" height="719"></p>\n<p class="MsoNormal" style="line-height: n ormal\; margin: 12.0pt 0cm 12.0pt 0cm\;"><span lang="EN">Earth Observation and GeoAI for Climate-Resilient Urban Systems is an advanced school desig ned to equip the next generation of researchers\, practitioners\, and deci sion-makers with state-of-the-art Earth Observation (EO)\, geospatial arti ficial intelligence (GeoAI)\, and data fusion methodologies to analyze\, q uantify\, and mitigate climate-driven risks and effects in urban systems.< /span></p>\n<p class="MsoNormal" style="line-height: normal\; margin: 12.0 pt 0cm 12.0pt 0cm\;"><span lang="EN">Within this framework\, climate-resil ient Urban Systems are understood as complex socio-technical systems compo sed of buildings\, critical infrastructure\, transportation networks\, pub lic spaces\, and human communities. The program emphasizes how Earth Obser vation (EO)\, multi-sensor data fusion (including optical\, SAR\, and micr owave EO)\, geospatial artificial intelligence (GeoAI)\, and participatory sensing can be integrated to strengthen urban resilience under conditions of climate change and multi-hazard exposure.</span></p>\n<p class="MsoNor mal" style="line-height: normal\; margin: 12.0pt 0cm 12.0pt 0cm\;"><span l ang="EN">The school combines expert lectures\, structured hands-on laborat ories\, and a Digital City Studio living-lab experience to advanced EO ana lytics\, GeoAI model development\, and operational decision-making context s. Participants will work with satellite imagery (Sentinel\, Landsat\, SAR \, microwave missions)\, airborne data\, in-situ measurements\, geo-social media data and human-generated datasets using open-source tools and AI-dr iven methodologies to develop scalable scalable\, explainable\, and transf erable workflows for urban risk intelligence\, infrastructure vulnerabilit y assessment\, and climate perception analysis.</span></p> END:VEVENT END:VCALENDAR