BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Dask for Geospatial Analysis: Efficient Parallel Workflows for
  Satellite Imagery in Sherlock
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261014T201922Z
UID:tag:localist.com\,2008:EventInstance_51446873897347
DTSTART:20260212T210000Z
DTEND:20260212T220000Z
DESCRIPTION:This workshop will provide an introduction to Dask in Python fo
 r satellite image analysis on distributed systems at scale. We will learn 
 workflows for accessing Earth Observation satellite imagery from NASA as w
 e learn to interact efficiently with images that are larger than the onboa
 rd memory of a single chip\, build and run custom functions targeted at on
 ly the pixels needed for our analysis goals\, and process targeted\, machi
 ne learning ready datasets from these images with the help of Dask's paral
 lelization and distributed data capabilities. This workshop is aimed at re
 searchers who have intermediate Python experience or higher\, and all leve
 ls of experience (beginner-advanced) with HPC computing. Access to Sherloc
 k is required to participate fully in the session. This workshop is offere
 d in partnership with the SDSS Center for Computation.\n\nDate and Time: 1
 :00–2:00PM\, Thursday\, February 12\, 2026Location: Branner Earth Scienc
 es Library and Zoom (link provided upon registration)Instructors: Ellianna
  Abrahams (Research Software and Technology Consultant)\, Maricela Abarca 
 (Data Curator for Interdisciplinary Sustainability)This workshop is part o
 f Love Data Week\, an annual festival highlighting topics\, opportunities 
 and services relevant to data in research.\n\nTo access Branner Library\, 
 please bring your Stanford ID and tap in. The library is on the 2nd floor 
 of Mitchell and is ADA accessible.\n\nWe will be taking photos at this eve
 nt for publicity purposes. Your presence at this event constitutes consent
  to be photographed unless you express otherwise.
GEO:37.426402;-122.172635
LOCATION:Mitchell Earth Sciences\, Branner Earth Sciences Library
SUMMARY:Dask for Geospatial Analysis: Efficient Parallel Workflows for Sate
 llite Imagery in Sherlock
URL;VALUE=URI:https://events.stanford.edu/event/dask-for-geospatial-analysi
 s
CATEGORIES:Workshop
END:VEVENT
END:VCALENDAR