The AlphaEarth dataset contains annual satellite embeddings from 2017 to 2024, with each pixel representing a 10x10 meter area. The dataset is available on Google Earth Engine, and can be used to train machine learning models to classify satellite imagery.

Google Earth AI expands on Geospatial Reasoning and includes models that address multiple areas. Including; land monitoring, detailed weather predictions, flood forecasting and wildfire detection. 

Create models for urban planning and public health by providing a rich understanding of imagery, population dynamics and urban mobility data.

These models already power features used by millions, like flood and wildfire alerts in Search and Maps; they also provide actionable insights through Google Earth, Google Maps Platform and Google Cloud. 

"The Satellite Embedding dataset is revolutionizing our work by helping countries map uncharted ecosystems - this is crucial for pinpointing where to focus their conservation efforts".

Nick Murray, Director of the James Cook University Global Ecology Lab and Global Science Lead of Global Ecosystems Atlas