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BEGIN:VEVENT
DTSTART:20260212T210000Z
DTEND:20260212T220000Z
DTSTAMP:20260212T000000Z
SUMMARY:Dask for Geospatial Analysis: Efficient Parallel Workflows for Satellite Imagery in Sherlock
DESCRIPTION: \n\nThis event is part of Love Data Week at Stanford\, an 
 annual festival highlighting topics\, opportunities and services relevant 
 to data in research. \n\nThis workshop will provide an introduction to Dask 
 in Python for satellite image analysis on distributed systems at scale. We 
 will learn workflows for accessing Earth Observation satellite imagery from 
 NASA as we learn to interact efficiently with images that are larger than 
 the onboard memory of a single chip\, build and run custom functions 
 targeted at only the pixels needed for our analysis goals\, and process 
 targeted\, machine learning ready datasets from these images with the help 
 of Dask's parallelization and distributed data capabilities. This workshop 
 is aimed at researchers who have intermediate Python experience or higher\, 
 and all levels of experience (beginner-advanced) with HPC computing. 
 \n\nAccess to Sherlock is required to participate fully in the session.
LOCATION:Teaching Corner (Branner Earth Sciences Library)
ORGANIZER;CN="Maricela Abarca":MAILTO:mabarca@stanford.edu
CATEGORIES:Love Data Week
CONTACT;CN="Maricela Abarca":MAILTO:mabarca@stanford.edu
STATUS:CONFIRMED
UID:LibCal-15881415
URL:https://appointments.library.stanford.edu/event/15881415
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