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⚠️ <strong>IMPORTANT NOTICE</strong> ⚠️<br>

<span style="color: #d32f2f;">This site is <strong>ARCHIVED</strong> and will <strong>NO LONGER BE UPDATED</strong>.</span><br> For updated Tutorial material, please visit the <a href="https://projectpythia.org/landsat-ml-cookbook/README.html" style="color: #812fd3;">Pythia landsat-ml cookbook</a>.<br> For Topic Examples, head over to the <a href="https://examples.holoviz.org/" style="color: #812fd3;">HoloViz Examples</a> website.

EarthML

Machine learning and visualization in Python for Earth science

EarthML is a "meta-project" with the aim of improving, documenting, and illustrating how to use other, freely available, general-purpose open source projects to solve problems in the earth sciences. See the EarthML website for more details, including installation instructions, an extensive tutorial, and various sample projects like:

<div> <div> <a href="http://earthml.pyviz.org/topics/Carbon_Flux.html"> <img src="doc/_static/collage/carbon.png" width='30%'></img></a> <a href="http://earthml.pyviz.org/topics/Heat_and_Trees.html"> <img src="doc/_static/collage/trees.png" width='30%'></img></a> <a href="http://earthml.pyviz.org/topics/Walker_Lake.html"> <img src="doc/_static/collage/walker.png" width='30%'></img></a> <a href="http://earthml.pyviz.org/topics/Landsat_Spectral_Clustering.html"> <img src="doc/_static/collage/cluster.png" width='30%'></img></a> </div> </div>

Please feel free to report issues or contribute examples or corrections.