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UID:pretalx-foss4g-2024-workshop-MZT9ZW@talks.staging.osgeo.org
DTSTART;TZID=-03:20241203T140000
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DESCRIPTION:# Cloud Native Geospatial for Earth Observation Workshop\n\nThe
  advent of cloud computing has revolutionised the capabilities of research
 ers and professionals globally\, helping them to access and analyse Earth 
 observation (EO) data more easily than ever. Despite the well-understood t
 ools and technologies\, such as cloud-optimised GeoTIFFs and the spatio-te
 mporal asset catalog (STAC) specification\, many EO professionals have not
  yet had the opportunity to practically apply these innovations. This work
 shop aims to bridge that gap by showcasing how cloud-native geospatial tec
 hnologies simplify the process of working with EO data\, using Python as t
 he primary programming language.\n\nParticipants will delve into a real-wo
 rld case study focused on documenting land productivity metrics\, a crucia
 l component for monitoring the UN Sustainable Development Goal (SDG) indic
 ators for 15.3.1. The workshop will utilise NASA’s Harmonized Landsat an
 d Sentinel data\, accessed through Earthdata\, to explore the land product
 ivity metric in depth.\n\nOur workshop hosts\, Caitlin Adams and Alex Leit
 h\, bring extensive experience from their work on large-scale cloud-native
  programs such as Digital Earth Africa\, Digital Earth Australia\, and the
  recently launched Digital Earth Pacific. These projects leverage petabyte
 s of data to create valuable information products that inform decision-mak
 ing processes across countries and continents.\n\nThroughout the workshop\
 , participants will gain hands-on experience and insights into how cloud-n
 ative geospatial technologies have significantly enhanced the ability to m
 anage and analyze large volumes of EO data. By the end of the session\, at
 tendees will have acquired practical examples and knowledge to further dev
 elop their skills in this innovative field.\n\nThis tutorial is supported 
 by the CEOS Systems Engineering Office and aims to equip participants with
  the tools and techniques necessary to harness the full potential of cloud
 -native geospatial technologies in their work.\n\n## Key Learning Objectiv
 es:\n\n- **Understanding Cloud-Native Geospatial Technologies**: Learn the
  fundamentals of cloud-native geospatial technologies and their significan
 ce in simplifying EO data workflows.\n  \n- **Practical Application with R
 eal-World Data**: Engage in hands-on exercises using NASA’s Harmonized L
 andsat and Sentinel data to calculate land productivity metrics relevant t
 o the UN SDG indicators for 15.3.1.\n\n- **Exploring Advanced Tools**: Gai
 n familiarity with key Python packages for EO data analysis\, including xa
 rray\, dask\, pystac-client\, odc-stac\, and odc-geo.\n\n- **Developing Re
 producible Workflows**: Understand how to build reproducible workflows tha
 t can be executed anywhere\, independent of specific computing environment
 s.\n\n- **Leveraging Global Data Repositories**: Learn how to access and u
 tilize global free and open EO datasets\, and how these resources can be i
 ntegrated into cloud-native workflows.\n\n## Target Audience:\n\nThis work
 shop is designed for Earth observation professionals\, researchers\, data 
 scientists\, and students who are interested in enhancing their skills in 
 EO data analysis using cloud-native technologies. Prior experience with Py
 thon is beneficial but not required\, as the workshop will build up the wo
 rkflow step-by-step.\n\n## Workshop Structure:\n\n1. **Introduction to Clo
 ud-Native Geospatial**: Overview of the cloud-native geospatial paradigm a
 nd its importance in EO data analysis.\n  \n2. **Real-World Case Study**: 
 Detailed examination of the land productivity metric using NASA’s Harmon
 ized Landsat and Sentinel data.\n\n3. **Hands-On Exercises**: Step-by-step
  practical sessions to develop and apply Python-based workflows for EO dat
 a analysis.\n\n4. **Discussion and Q&A**: Interactive session for particip
 ants to ask questions\, share insights\, and discuss the applications of c
 loud-native geospatial technologies in their work.\n\n## Instructors:\n\n-
  **Caitlin Adams**: Senior Data Scientist at FrontierSI\, specializing in 
 machine learning applications for EO datasets. Internationally recognized 
 for her contributions to EO and passionate about educating others in the f
 ield.\n\n- **Alex Leith**: Technical Director at Auspatious\, with a prove
 n track record in delivering operational data infrastructure and making da
 ta accessible for informed decision-making. Alex is a leader in the EO com
 munity\, dedicated to promoting sustainability through better data access.
 \n\nThis workshop is supported by the CEOS Systems Engineering Office\, en
 suring high-quality content and expert guidance throughout the session.\n\
 nJoin us to explore the transformative potential of cloud-native geospatia
 l technologies and elevate your EO data analysis capabilities to new heigh
 ts.
DTSTAMP:20260516T180154Z
LOCATION:Room Açaí (C Block)
SUMMARY:Cloud-Native Geospatial for Earth Observation - Alex Leith
URL:https://talks.staging.osgeo.org/foss4g-2024-workshop/talk/MZT9ZW/
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