BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.earthmonitor.org//opengeohub-summer-school-2025/
 /ZWLPJE
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-8YHQU9@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250904T133000
DTEND;TZID=Europe/Amsterdam:20250904T150000
DESCRIPTION:In the Earth Observation (EO) domain\, data analysis ranges fro
 m simple image processing tasks like dilation to complex workflows involvi
 ng Machine Learning (ML) and Deep Learning (DL). While openEO provides num
 erous features and functions for data analysis\, but given the broad scope
  of the field\, not all potential needs are covered out of the box. To add
 ress this\, openEO supports User-Defined Functions (UDFs). These UDFs are 
 implemented as standard Python scripts using libraries such as Xarray or N
 umpy. They allow users to implement custom workflows tailored to specific 
 research requirements.\n\nThus\, in this course\, we offer a high-level in
 troduction to openEO with a focus on UDFs and include an example of an adv
 anced EO workflow that applies this concept in practice.
DTSTAMP:20260624T124718Z
LOCATION:HugoTECH
SUMMARY:Build Advanced EO Workflows with Custom Functions in openEO within 
 the Copernicus Data Space Ecosystem - Pratichhya Sharma
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/8YH
 QU9/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-XKNKGR@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250904T090000
DTEND;TZID=Europe/Amsterdam:20250904T093000
DESCRIPTION:Traditionally way to process Earth Observation (EO) data could 
 be complex and time-consuming\, requiring users to discover\, download\, a
 nd pre-process large datasets locally.
DTSTAMP:20260624T124718Z
LOCATION:HugoTECH
SUMMARY:Introduction to openEO within the Copernicus Data Space Ecosystem -
  Pratichhya Sharma
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/XKN
 KGR/
END:VEVENT
END:VCALENDAR