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PRODID:-//pretalx//cfp.scipy.org//2023//speaker//ZFYMW8
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TZID:America/Chicago
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DTSTART:20220711T000000
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DTSTART:20221106T020000
RDATE:20231105T020000
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SUMMARY:An Introduction to Cloud-Based Geospatial Analysis with Earth Engi
 ne and Geemap - Steve Greenberg\, Qiusheng Wu
DTSTART;TZID=America/Chicago:20230711T080000
DTEND;TZID=America/Chicago:20230711T120000
DTSTAMP:20261017T033116Z
UID:pretalx-2023-GQ7PG3@cfp.scipy.org
DESCRIPTION:This tutorial is an introduction to cloud-based geospatial ana
 lysis with Earth Engine and the geemap Python package. We will cover the b
 asics of Earth Engine data types and how to visualize\, analyze\, and expo
 rt Earth Engine data in a Jupyter environment using geemap. We will also d
 emonstrate how to develop and deploy interactive Earth Engine web apps. Th
 roughout the session\, practical examples and hands-on exercises will be p
 rovided to enhance learning. The attendees should have a basic understandi
 ng of Python and Jupyter Notebooks. Familiarity with Earth science and geo
 spatial datasets is not required\, but will be useful.
LOCATION:Classroom 104
URL:https://cfp.scipy.org/2023/talk/GQ7PG3/
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BEGIN:VEVENT
SUMMARY:Interactive Analysis of Satellite Imagery with Earth Engine and Ge
 emap - Steve Greenberg\, Qiusheng Wu
DTSTART;TZID=America/Chicago:20230713T104500
DTEND;TZID=America/Chicago:20230713T111500
DTSTAMP:20261017T033116Z
UID:pretalx-2023-MFQQRJ@cfp.scipy.org
DESCRIPTION:Google Earth Engine is a cloud-computing platform with a multi
 -petabyte catalog of satellite imagery and geospatial datasets. Built upon
  the Earth Engine Python API and open-source mapping libraries\, geemap en
 ables Earth Engine users to interactively manipulate\, analyze\, and visua
 lize geospatial big data in a Jupyter environment. This presentation intro
 duces Earth Engine and highlights the key features of geemap for interacti
 ve mapping and geospatial analysis with Earth Engine. Attendees can utiliz
 e geemap to create satellite timelapse animations for any location on Eart
 h within 60 seconds. Additional resources will be provided to the attendee
 s to learn more about geemap.
LOCATION:Grand Salon C
URL:https://cfp.scipy.org/2023/talk/MFQQRJ/
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