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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:20260624T124558Z
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/
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