Söchting, M., Mahecha, M. D., Montero,D., & Scheuermann, G. (2024). Lexcube: Interactive Visualization of Large Earth System Data Cubes. In IEEE Computer Graphics and Applications (Vol. 44, Issue 1, pp. 25–37). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/mcg.2023.3321989
Montero, D., Aybar, C., Mahecha, M. D., Martinuzzi, F., Söchting, M., & Wieneke, S. (2023). A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. In Scientific Data (Vol. 10, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41597-023-02096-0
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. (2023). Data Cubes for Earth System Research: Challenges Ahead. California Digital Library (CDL). https://doi.org/10.31223/x58m2v
Martinuzzi, F., Mahecha, M. D., Camps-Valls, G., Montero, D., Williams, T., & Mora, K. (2023). Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures. Copernicus GmbH. https://doi.org/10.5194/egusphere-2023-2368
Aybar, C., Ysuhuaylas, L., Loja, J., Gonzales, K., Herrera, F., Bautista, L., Yali, R., Flores, A., Diaz, L., Cuenca, N., Espinoza, W., Prudencio, F., Llactayo, V., Montero, D., Sudmanns, M., Tiede, D., Mateo-García, G., & Gómez-Chova, L. (2022). CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2. In Scientific Data (Vol. 9, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41597-022-01878-2
Montero,D.(2021). eemont: A Python package that extends Google Earth Engine. In Journal of Open Source Software (Vol. 6, Issue 62, p. 3168). The Open Journal. https://doi.org/10.21105/joss.03168