ML Anthology

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data

Benedikt Blumenstiel, Paolo Fraccaro, Valerio Marsocci, Johannes Jakubik, Stefano Maurogiovanni, Mikolaj Czerkawski, Rocco Sedona, Gabriele Cavallaro, Thomas Brunschwiler, Juan Bernabé-Moreno, Nicolas Longépé
CVPRW 2025 pp. 2394-2402
/cvprw/2025/blumenstiel2025cvprw-terramesh/

Abstract

Large-scale foundation models in Earth Observation can learn versatile, label-efficient representations by leveraging massive amounts of unlabeled data. However, existing public datasets are often limited in scale, geographic coverage, or sensor variety. We introduce TerraMesh, a new globally diverse, multimodal dataset combining optical, synthetic aperture radar, elevation, and land-cover modalities in an Analysis-Ready Data format. TerraMesh includes over 9 million samples with eight spatiotemporal aligned modalities, enabling large-scale pre-training and fostering robust cross-modal correlation learning. The dataset spans nearly all terrestrial ecosystems and is stored with Zarr to facilitate efficient, HPC-friendly loading at scale. We provide detailed data processing steps, comprehensive statistics, and empirical evidence demonstrating improved model performance when pre-trained on TerraMesh. The dataset will be made publicly available with a permissive license.

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Cite

Text

Blumenstiel et al. "TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.

Markdown

[Blumenstiel et al. "TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.](https://mlanthology.org/cvprw/2025/blumenstiel2025cvprw-terramesh/)

BibTeX

@inproceedings{blumenstiel2025cvprw-terramesh,
  title     = {{TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data}},
  author    = {Blumenstiel, Benedikt and Fraccaro, Paolo and Marsocci, Valerio and Jakubik, Johannes and Maurogiovanni, Stefano and Czerkawski, Mikolaj and Sedona, Rocco and Cavallaro, Gabriele and Brunschwiler, Thomas and Bernabé-Moreno, Juan and Longépé, Nicolas},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2025},
  pages     = {2394-2402},
  url       = {https://mlanthology.org/cvprw/2025/blumenstiel2025cvprw-terramesh/}
}