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PRODID:-//pretalx//pretalx.earthmonitor.org//RTKKKZ
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TZID:Europe/Madrid
BEGIN:STANDARD
DTSTART:20001029T030000
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TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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DTSTART:20000326T020000
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BEGIN:VEVENT
UID:pretalx-global-workshop-2026-RTKKKZ@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Madrid:20261008T153000
DTEND;TZID=Europe/Madrid:20261008T161500
DESCRIPTION:Accurate global forest aboveground biomass (AGB) mapping is imp
 ortant for reducing the uncertainties in terrestrial carbon sink assessmen
 ts. Current global approaches for AGB mapping\, such as ESA CCI Biomass ma
 ps\, rely on methods that are globally optimized\; thus\, they may result 
 in lower performance when evaluated in specific regions. In this workshop\
 , we aim to present the cloud-optimized and quality-filtered GEDI point ob
 servations and analyze how they can contribute to improved global biomass 
 mapping. The outcomes of the workshop will help identify potential improve
 ments to the datasets and define future experimentation to assess their co
 ntribution to AGB mapping.
DTSTAMP:20261023T012226Z
LOCATION:Aula Magna
SUMMARY:Satellite LiDAR Data in Support of Forest Biomass Mapping - Milutin
  Milenković\, Yu-Feng Ho\, Maurizio Santoro
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/RTKKKZ/
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