> For the complete documentation index, see [llms.txt](https://guides.geospatial.bas.ac.uk/eo-training-resources/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guides.geospatial.bas.ac.uk/eo-training-resources/level-3.md). # Level 3 This section provides practical resources for individuals looking to develop hands-on skills and knowledge in EO and RS. It includes online courses, tutorials, case studies, and data recipes to help you apply theoretical knowledge to practical situations, as well as links to data providers and some popular software. {% hint style="info" %} Just a reminder: you are welcome to contact MAGIC team through [Helpdesk](https://magic-helpdesk.web.bas.ac.uk/), with any questions regarding EO data access, selecting and setting up software, as well as feedback on the content of this page. {% endhint %} ## Practice-Oriented Courses, Training Materials, Data Recipes * [NASA ARSET](https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset) provides training and training materials on many aspects of EO data applications. Intermediate and Advanced level courses are usually focused on solving real-life problems using online services and desktop applications. * [Copernicus Research and User Support training](https://eo4society.esa.int/resources/copernicus-rus-training-materials/) archive is a useful resource that offers a range of free, online training materials focused on Earth Observation (EO). The materials are aimed at providing users with the skills and knowledge necessary to access and utilize data from the Copernicus Sentinel satellites. * ASF composed a collection of [SAR Data Recipes](https://asf.alaska.edu/how-to/data-basics/data-recipe-tutorials-2/) * EarthLab [courses](https://www.earthdatascience.org/courses/intro-to-earth-data-science/) and [tutorials](https://www.earthdatascience.org/tutorials/) are created for those, who are learning how to process EO data programmatically using Python, R, or Java ## EO data providers A wide range of satellite data, derived datasets, and services are available publicly. * [EO browser](https://apps.sentinel-hub.com/eo-browser/) service for searching and viewing Sentinels * [Copernicus Open Access Hub](https://scihub.copernicus.eu/) - Sentinels search and download * [Copernicus services](https://www.copernicus.eu/en/copernicus-services) – Entry point to the various Copernicus raw and derived datasets * [EarthExplorer](https://earthexplorer.usgs.gov/) – USGS archive, providing mainly Landsat data records, also the source of historical aerial and satellite images * [EUMETSAT](https://view.eumetsat.int/productviewer/) - data viewer for EUMETAT-produced data (includes Meteop, Sentinel-3 and other missions) * EarthData or [EarthDataSearch](https://search.earthdata.nasa.gov/search) is the main portal for searching and downloading NASA datasets. Most of the datasets could be viewed or accessed through other services ([WorldView](https://worldview.earthdata.nasa.gov/), for example), but it is a valid point to start from. * [ASF Vertex](https://search.asf.alaska.edu/) search service provides access to various ongoing (Sentinel-1, SMAP) and historical (ERS, ALOS) radar missions, and has some unique capabilities (like computing baselines between scenes) and datasets (like Sentinel-1 Interferograms). * [Google Earth Engine](https://earthengine.google.com/) (GEE) is a powerful EO processing and visualization tool, containing lots of [datasets](https://developers.google.com/earth-engine/datasets/) with the support of a custom [community catalog](https://gee-community-catalog.org/). To start with, here are Elena Field’s [Introduction to GEE](https://web.microsoftstream.com/video/0a23027e-f909-4738-bd1a-a9e1f8dc5b77) (internal link) and [support materials](https://guides.geospatial.bas.ac.uk/intro-to-google-earth-engine/) for this talk. * [Polarview](https://www.polarview.aq/) is a specialized resource developed by BAS for access to EO data fitted for sea ice monitoring. In addition to publicly available data, commercial satellite providers also offer EO data and value-added services, providing usually higher spatial resolution satellite images and on-demand monitoring of specific areas. You can review the imagery availability through the links below and contact MAGIC to order the data: [Maxar](https://discover.maxar.com/), [Airbus](https://oneatlas.airbus.com/home), [Planet](https://www.planet.com/), [Iceye](https://www.iceye.com/), [Satellogic](https://satellogic.com/), [MDA (Radarsar)](https://mda.space/en/satellite-systems), [DLR (TerraSAR-X)](https://www.dlr.de/content/en/articles/missions-projects/terrasar-x/terrasar-x-earth-observation-satellite.html). ## Tools, Desktop applications * [QGIS](https://www.qgis.org/en/site/forusers/download.html) – Free open-source desktop GIS. If you are new to it, join the next [MAGIC’s training](https://nercacuk.sharepoint.com/sites/BASDigitalwmod-magic/sitePages/Magictraining.aspx) on QGIS, or study this [tutorial](https://guides.geospatial.bas.ac.uk/qgis-tutorial/). * [ArcGIS](https://pro.arcgis.com/en/pro-app/latest/get-started/download-arcgis-pro.htm) – contact MAGIC for obtaining a license ([Helpdesk](https://magic-helpdesk.web.bas.ac.uk/), ) * [GDAL](https://gdal.org/) – is an essential tool for raster data processing, though could be tough to learn. If you feel a necessity to use it, read first the series of ‘ [Gentle Introduction to GDAL](https://medium.com/planet-stories/a-gentle-introduction-to-gdal-part-1-a3253eb96082)’, then refer to official [documentation](https://gdal.org/api/index.html) and [tutorials](https://gdal.org/tutorials/index.html). If you are still interested – review the [Mastering GDAL course](https://courses.spatialthoughts.com/gdal-tools.html). * [ESA SNAP](https://step.esa.int/main/download/snap-download/) – developed by EAS software for EO data processing and analysis, especially suited for SAR data. You can check the official [tutorials](https://step.esa.int/main/doc/tutorials/), and ask your questions on a helpful [community forum](https://forum.step.esa.int/). * [Orfeo Toolbox](https://www.orfeo-toolbox.org/) is an open-source EO processing package, especially handy when working with VHR data. Could be used as a standalone application, QGIS tool, or Python package. Tip: Start studying it from the [Recipes](https://www.orfeo-toolbox.org/CookBook/) section. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. 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