BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.earthmonitor.org//9Q7PZY
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-global-workshop-2026-9Q7PZY@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261008T180000
DTEND;TZID=Europe/Amsterdam:20261008T184500
DESCRIPTION:In this workshop\, the participants will have access to harmoni
 zed\, analysis-ready\, gap-filled and complete Landsat global mosaics from
  1997 onward in cloud-optimized GeoTIFF (COG) format (130 TB of data) in C
 DSE (https://browser.stac.dataspace.copernicus.eu). Spanning over 25 years
  and structured in 7 spectral bands (RGB\, NIR\, SWIR-1\, SWIR-2 and therm
 al)\, this data is instrumental for long-term monitoring applications of l
 and cover change\, soil proprieties\, vegetation productivity\, land degra
 dation\, vegetation height and other environmental characteristics. The gl
 obal mosaics were produced via the Time-Series Iteration-free Reconstructi
 on (TSIRF) framework over the entire Global Land Analysis and Discovery (G
 LAD) ARD Landsat archive (https://doi.org/10.7717/peerj.18585). Participan
 ts will learn about the implemented methodologies and use several python l
 ibraries (stacstac\, scikit-map) JupyterLab.
DTSTAMP:20260624T084701Z
LOCATION:Room 18
SUMMARY:Accessing global multi-decade Landsat cloud-free time-series in CDS
 E - Leandro Parente
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/9Q7PZY/
END:VEVENT
END:VCALENDAR