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TZID:Europe/Amsterdam
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DTSTART:20001029T030000
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TZOFFSETTO:+0100
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DTSTART:20000326T020000
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BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-PAUHGU@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250901T113000
DTEND;TZID=Europe/Amsterdam:20250901T120000
DESCRIPTION:Global Pasture Watch (GPW) initiative addresses the critical ne
 ed for monitoring grasslands and pastures\, which cover 40% of Earth's sur
 face and are vital for carbon sequestration\, food\, biodiversity\, and cu
 ltural heritage.
DTSTAMP:20260624T125500Z
LOCATION:HugoTECH
SUMMARY:Monitoring global grassland and pasture areas: An integrated approa
 ch based data-fusion and regional calibration - Leandro Parente
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/PAU
 HGU/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-MTHQXF@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250904T153000
DTEND;TZID=Europe/Amsterdam:20250904T170000
DESCRIPTION:In this tutorial\, an AutoML framework (EvalML) will be used fo
 r modeling livestock density at polygon level (areal regression) and produ
 ce spatial predictions at pixel level.
DTSTAMP:20260624T125500Z
LOCATION:HugoTECH
SUMMARY:AutoML: Automating machine learning applied to areal regression mod
 eling - Leandro Parente
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/MTH
 QXF/
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