Publications
Here you will find scientific outputs directly associated with cube.ng and highlights background literature that frames the project. These include peer-reviewed papers, preprints, conference abstracts and posters, and software and dataset citations.
cube.ng contributions
- Zimmer, C., Umlauft, J., Kraemer, G., Montero, D., & Mahecha, M. D. (2026). Gap-Aware Transformer-Based Foundation Model Pretraining for Spatiotemporal Earth Observation Data. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu26-7697
Publications acknowledging cube.ng
- Montero, D., Aybar, C., Mahecha, M. D., & Gómez-Chova, L. (2026). Towards an open registry of Earth observation instruments. [Preprint]. https://doi.org/10.48550/ARXIV.2606.13923
Related background literature
The project is grounded in earlier work on Earth System Data Cubes (ESDCs), gap filling, and AI. Key references include:
- Zimmer, C., Neumann, A., Mahecha, M. D., & Umlauft, J. (2025). PATCH-FILL: Multiscale Gap Filling for Earth System Data Cubes. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–13. https://doi.org/10.1109/tgrs.2025.3593051
- Montero, D., Kraemer, G., Anghelea, A., Aybar, C., Brandt, G., Camps-Valls, G., Cremer, F., Flik, I., Gans, F., Habershon, S., Ji, C., Kattenborn, T., Martínez-Ferrer, L., Martinuzzi, F., Reinhardt, M., Söchting, M., Teber, K., & Mahecha, M. D. (2024). Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science, 3. https://doi.org/10.1017/eds.2024.22
- Mahecha, M. D., Gans, F., Brandt, G., Christiansen, R., Cornell, S. E., Fomferra, N., Kraemer, G., Peters, J., Bodesheim, P., Camps-Valls, G., Donges, J. F., Dorigo, W., Estupinan-Suarez, L. M., Gutierrez-Velez, V. H., Gutwin, M., Jung, M., Londoño, M. C., Miralles, D. G., Papastefanou, P., & Reichstein, M. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics, 11(1), 201–234. https://doi.org/10.5194/esd-11-201-2020
These works are not cube.ng outputs themselves, but they provide important context and previous work for the scientific and methodological questions that motivate the project.