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@@ -42,6 +42,7 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
 * [Analyzing Sentinel-2 satellite data in Python with Keras](https://github.com/jensleitloff/CNN-Sentinel)
 * [Xarray backend to Copernicus Sentinel-1 satellite data products](https://github.com/bopen/xarray-sentinel)
 * [SEN2VENµS](https://zenodo.org/record/6514159#.YoRxM5PMK3I) -> a dataset for the training of Sentinel-2 super-resolution algorithms
+* [M3LEO](https://huggingface.co/M3LEO) -> [Github](https://github.com/spaceml-org/M3LEO). A very large scale georeferenced dataset of Sentinel 1/2 imagery plus interferometric SAR products and auxiliary datasets such as Land cover, Biomass and Digital Elevation Models.
 * [SEN12MS](https://github.com/zhu-xlab/SEN12MS) -> A Curated Dataset of Georeferenced Multi-spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. Checkout [SEN12MS toolbox](https://github.com/schmitt-muc/SEN12MS) and many referenced uses on [paperswithcode.com](https://paperswithcode.com/dataset/sen12ms)
 * [Sen4AgriNet](https://github.com/Orion-AI-Lab/S4A) -> A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning, with and [models](https://github.com/Orion-AI-Lab/S4A-Models)
 * [earthspy](https://github.com/AdrienWehrle/earthspy) -> Monitor and study any place on Earth and in Near Real-Time (NRT) using the Sentinel Hub services developed by the EO research team at Sinergise