metadata
license: cc-by-4.0
task_categories:
- image-feature-extraction
tags:
- earth-observation
- remote-sensing
- multimodal
language:
- en
OlmoEarth Pre-training Dataset
This is the pre-training dataset for training the OlmoEarth pre-trained remote sensing foundation models, as presented in the paper OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation.
Project Page: https://olmoearth.allenai.org/ Code Repository: https://github.com/allenai/olmoearth_pretrain
Documentation for the pretraining dataset can be found on GitHub at https://github.com/allenai/olmoearth_pretrain/blob/main/docs/Pretraining-Dataset.md
The dataset is released under CC BY 4.0. It includes data from the following sources:
- Sentinel-2 L2A imagery from the European Space Agency, available under the Copernicus Sentinel Data and Service Legal Notice
- Sentinel-1 GRD IW vv+vh imagery from the European Space Agency, processed by Microsoft Planetary Computer, available under CC BY 4.0
- Landsat 8/9 OLI-TIRS imagery from NASA/USGS, public domain
- The USDA Cropland Data Layer from USDA, public domain
- ERA5 monthly reanalysis data from ECMWF, available under CC-BY
- OpenStreetMap vector data, available under ODbL
- Shuttle Radar Topography Mission (SRTM) Digital Elevation from USGS, public domain.
- WorldCereal 2021 cropland map from ESA, available under Creative Commons Attribution 4.0 International.
- WorldCover 2021 land cover map from ESA, available under Creative Commons Attribution 4.0 International.
- WRI Canopy Height Maps from World Resources Institute and Meta, available under Creative Commons Attribution 4.0 International.