This repository illustrates how to explore the Satellogic EarthView dataset hosted on AWS as part of the Open Data Registry Program.
To facilitate exploration, we provide a Jupyter Notebook, satellogic-earthview_exploration.ipynb. This notebook demonstrates how to download a Parquet file containing the relative path for all items together with their zone, region, date, and geometry.
Please note that the geometries have been reprojected to EPSG:4326. As a result, their bounds may not align perfectly with the original GeoTIFF files, which are stored in a UTM CRS, such as EPSG:32610.
In order to run the notebook you will need the following Python libraries
- Pyarrow
- Geopandas
- Folium
- Rasterio
- Pyproj
If you use our EarthView dataset in your research please consider citing:
@inproceedings{earthview2025,
author={Velázquez, Diego and Rodríguez, Pau and Alonso, Sergio and Gonfaus, Josep M. and González, Jordi and, Richarte, Gerardo and Marín, Javier and Bengio, Yoshua and Lacoste, Alexandre},
booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)},
title={EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision},
year={2025}}
The dataset is licensed under CC BY 4.0.
For any questions or suggestions you can use the issues section or reach us at the following email addresses: [email protected] or [email protected]