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TZID:Europe/Amsterdam
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DTSTART:20001029T030000
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TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-BDVFTR@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250902T093000
DTEND;TZID=Europe/Amsterdam:20250902T103000
DESCRIPTION:The lecture will address how we analyse Earth Observation data\
 nToday\, local or cloud-based\, and how we ended up in the current\nsituat
 ion. It will also address to which extent cloud platforms\nare built on op
 en source software\, and how the Earth Observation\ncommunity can continue
  working towards a scientific practice that\nis sustainable\, FAIR\, and t
 hat complies to open science requirements.
DTSTAMP:20260624T124813Z
LOCATION:HugoTECH
SUMMARY:Cloud-based analysis of Earth Observation data using open-source so
 ftware - Edzer Pebesma
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/BDV
 FTR/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-opengeohub-summer-school-2025-ZFRDCW@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20250902T133000
DTEND;TZID=Europe/Amsterdam:20250902T150000
DESCRIPTION:The workshop will repeat some theory about what multidimensiona
 l\narrays are in computer science as well as in R and Python\, and\ndiscus
 s how they can be used for solving Earth Observations problems.\nIn partic
 ular it will discuss the use of arrays for time series\ndata\, for spatial
  data (raster maps\, stacks of raster maps)\, for\nspatiotemporal data (ti
 me series of raster maps or stacks)\, and for\ntime series of feature (poi
 nt or polygon) data (vector data cubes).\nAll will be illustrated by examp
 les in R and Python\, in parallel.\nExamples will be (mostly) reproducible
  by participants.
DTSTAMP:20260624T124813Z
LOCATION:HugoTECH
SUMMARY:Raster and vector data cubes in R and Python - Edzer Pebesma
URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/ZFR
 DCW/
END:VEVENT
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