AgReFed Data Harvester Workshop

The Sydney Informatics Hub provides support, training, and advice on research data, analyses and computing. Talk to us about your computing infrastructure, data science, digital tools and data governance needs. We can also assist you in choosing the best platforms to facilitate your workflow and collaboration. Seehttps://www.sydney.edu.au/research/facilities/sydney-informatics-hub.htmlfor more information.

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Learn to use the AgReFed Data-Harvester platform to rapidly retrieve geospatial data from a wide range of open online sources.

<h3>Sydney Informatics Hub presents:</h3><h2>AgReFed Data-Harvester Workshop for R users</h2><p>The AgReFed Data-Harvester enables reusable workflows for data downloads, feature extraction and spatial-temporal processing of ecological and environmental data into ready-made datasets for machine learning and geospatial insight.</p><p></p><h3>In this hands-on workshop, we will showcase:</h3><p>1. Automatic download and extraction of:</p><p>- Landsat/Sentinel data via Google Earth Engine (e.g., seasonal NDVI)</p><p>- National calibrated Landsat/Sentinel data via Digital Earth Australia (DEA) Geoscience Earth Observations</p><p>- Soil and Landscape Grid of Australia (SLGA)</p><p>- SILO Climate Database (e.g., temperature, rainfall)</p><p>- National Digital Elevation Model (DEM) 1 arcsec</p><p>- Radiometric Data</p><p>2. Spatial and temporal extraction and processing from obtained datasets</p><p>3. Visualisation of data layers and satellite images from Google Earth Engine</p><p>4. Cloud-coverage masking for satellite image processing</p><p>5. Wrangling points of interest into a machine learning-friendly format</p><h3></h3><h3>Target audience:</h3><p>This workshop will be of interest to researchers and students in Agriculture, Environmental Science, Geosciences, as well as others interested in working with geo-spatial datasets, especially via spatio-temporal processing of open environmental and satellite-derived data. Additionally, anyone interested in joining an early-phase open-source project are encouraged to come and help develop!</p><h3></h3><h3>Workshop format:</h3><p>3 hours online (with breaks). Registered attendees will receive a Zoom link closer to the date.</p><h3></h3><h3>Pre-requisites:</h3><p>A knowledge of R and RStudio and installing packages in R and Python. An interactive online environment will be provided for users for the workshop (with installation instructions provided for those wishing to run things locally). </p><p><strong>Note:</strong> The AgReFed Data-Harvester is accessible via both <em>R</em> and <em>Python</em>. If you would like to attend a Python workshop instead of (or in addition to) the R stream, please let us know of your interest by entering your email here: <a href="https://sydney.au1.qualtrics.com/jfe/form/SV_9TUKiEjaNEFPifk" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sydney.au1.qualtrics.com/jfe/form/SV_9TUKiEjaNEFPifk</a></p><h3></h3><h3>For more information: </h3><p>sih.training@sydney.edu.au </p>

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AgReFed Data Harvester Workshop

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