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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20270328T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
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BEGIN:STANDARD
DTSTART:20261025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
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BEGIN:VEVENT
DTSTAMP:20261111T163104Z
UID:0C4A26CB-E819-4DDD-8AA5-335875AC89B4
DTSTART;TZID=Europe/Vienna:20261111T160000
DTEND;TZID=Europe/Vienna:20261111T170000
DESCRIPTION:Earth Observation (EO) data cubes provide a powerful framework 
 for organizing and analyzing large-scale geospatial data across space and 
 time. Semantic EO data cubes enable additional data access and analysis me
 thods for spatio-temporal analysis\, supporting a variety of downstream ta
 sks such as environmental monitoring and decision-making. This webinar wil
 l explore recent advances\, methods\, and applications of semantic Earth O
 bservation data cubes\n\nSpeaker(s): Martin \n\nZ_GIS meeting room\, Depar
 tment of Geoinformatics Z_GIS\, Salzburg\, Salzburg\, Austria\, 5020
LOCATION:Z_GIS meeting room\, Department of Geoinformatics Z_GIS\, Salzburg
 \, Salzburg\, Austria\, 5020
ORGANIZER:shaily.gandhi@gmail.com
SEQUENCE:12
SUMMARY:Spatio-temporal analysis in semantic Earth Observation data cubes
URL;VALUE=URI:https://events.vtools.ieee.org/m/564000
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Earth Observation (EO) data cubes provide 
 a powerful framework for organizing and analyzing large-scale geospatial d
 ata across space and time. Semantic EO data cubes enable additional data a
 ccess and analysis methods for spatio-temporal analysis\, supporting a var
 iety of downstream tasks such as environmental monitoring and decision-mak
 ing. This webinar will explore recent advances\, methods\, and application
 s of semantic Earth Observation data cubes&lt;/p&gt;
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