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UID:pretalx-foss4g-europe-2024-workshops-LNA9L8@talks.staging.osgeo.org
DTSTART;TZID=EET:20240702T140000
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DESCRIPTION:In the rapidly evolving field of remote sensing\, spectral indi
 ces are pivotal for monitoring and deciphering Earth system dynamics\, inc
 luding vegetation dynamics\, water bodies ecosystems\, and fire regimes. A
 s the range of available spectral indices expands\, the need for comprehen
 sive catalogues and computational tools becomes crucial. Enter the [Awesom
 e Spectral Indices (ASI)](https://github.com/awesome-spectral-indices/awes
 ome-spectral-indices) - a novel\, machine-readable\, and open-source catal
 ogue of spectral indices for Remote Sensing applications . ASI also promot
 es accessibility and application by integrating with three official Applic
 ation Programming Interfaces (APIs) tailored for Python\, Julia\, and Goog
 le Earth Engine's JavaScript API. This integration facilitates the computa
 tion of a vast number of indices\, adaptable to varied user experiences\, 
 data availability\, and processing needs.\n\nOur interactive workshop is s
 tructured into five engaging segments\, each designed to showcase the pote
 ntial of ASI in various environments:\n\n1. **Introduction to Awesome Spec
 tral Indices (15 mins)**: This segment unveils the ASI catalogue\, highlig
 hting its standardisation\, the comprehensive range of spectral indices\, 
 and their properties. Participants will also get a demonstration of “Esp
 ectro”\, a Streamlit web app\, for querying spectral indices.\n2. **ASI 
 Python Mastery (30 min)**: Dive into “[spyndex](https://github.com/aweso
 me-spectral-indices/spyndex)”\, ASI’s Python API. This hands-on sessio
 n guides attendees through exploring and computing spectral indices for se
 veral Python objects such as pandas Data Frames\, numpy arrays\, and xarra
 y data arrays. Participants will leverage real-world data from STAC\, such
  as Sentinel-2 and Landsat-9\, applying parallel computing techniques with
  dask. This session is versatile\, accommodating both Google Colab and per
 sonal Python environments.\n3. **ASI in Google Earth Engine (20 min)**: Go
 ogle Earth Engine (GEE) stands as a colossus in remote sensing analysis. H
 ere\, we introduce “[spectral](https://github.com/awesome-spectral-indic
 es/spectral)”\, a JavaScript module for GEE\, offering access to ASI spe
 ctral indices. Practical exercises will involve computing indices for imag
 es and image collections using GEE’s extensive data catalogue. (GEE acco
 unt required).\n4. **Harnessing ASI in Julia (30 min)**: Julia's focus in 
 high-performance scientific computing makes it ideal for Earth system appl
 ications. “[SpectralIndices.jl](https://github.com/awesome-spectral-indi
 ces/SpectralIndices.jl)” brings ASI's power to Julia\, enabling the comp
 utation of indices with remarkable efficiency . Participants will access i
 ndices and make computations for Arrays\, Data Frames and YAXArrays. Parti
 cipants should have a Julia environment pre-installed for this session\, i
 deally with the necessary dependencies already downloaded.\n5. **Collabora
 tive Outro (25 min)**: The workshop concludes with an interactive discussi
 on\, brainstorming enhancements for ASI (from standard improvements to com
 putational methodologies)\, real-world applications and integration with o
 ther software or initiatives. This collective discussion will be gathered 
 into a white paper\, aspiring for publication.\n\nThis workshop invites pa
 rticipants from all skill levels\, from beginners to experts\, offering a 
 unique opportunity to explore the world of spectral indices and their appl
 ication in remote sensing. Join us in harnessing the power of open-source 
 software to explore and understand our planet like never before.
DTSTAMP:20260525T072419Z
LOCATION:Room 335
SUMMARY:Opening Pandora's Spectral Box: Pioneering the Awesome Spectral Ind
 ices Suite - David Montero Loaiza\, Francesco Martinuzzi
URL:https://talks.staging.osgeo.org/foss4g-europe-2024-workshops/talk/LNA9L
 8/
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