Earth surface forecasting

Using Machine Learning to forecast the dynamics of Earth’s surface, we can predict crop yield, forest health, the effects of a drought and more.

EarthNet Models PyTorch

Perform training and inference of deep neural networkswith the EarthNet Models PyTorch Python package.

Generate new analysis-ready minicubes at any place on Earth using the EarthNet Minicuber Python package.

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We are at EGU24!

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Our recent work on Multi-modal learning for geospatial vegetation forecasting has been accepted at CVPR!

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We are hiring an ML Engineer, that will support our ML pipeline on self-supervised learning of the Earths’ Biosphere.