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Una selección de investigaciones sobre observación de la Tierra, cubos de datos del sistema Tierra, dinámica de la vegetación, inteligencia artificial y software científico abierto. El registro completo está disponible en Google Scholar.

2026

Artículo científico

Mahecha, M. D., Kraemer, G., Reinhardt, M., Montero, D., Gans, F., Bastos, A., Feilhauer, H., Flik, I., Ji, C., Kattenborn, T., Migliavacca, M., Mönks, M., Quaas, J., Sippel, S., Walther, S., Wieneke, S., Wirth, C., & Camps-Valls, G. (2026). Accelerated north–east shift of the global green wave trajectory. Proceedings of the National Academy of Sciences, 123(9). https://doi.org/10.1073/pnas.2515835123

Artículo científico

Mosig, C., Vajna-Jehle, J., Mahecha, M. D., Cheng, Y., Hartmann, H., Montero, D., Junttila, S., Horion, S., Schwenke, M. B., Koontz, M. J., Maulud, K. N. A., Adu-Bredu, S., Al-Halbouni, D., Ali, M., Allen, M., Altman, J., Amorós, L., Angiolini, C., Astrup, R., … Kattenborn, T. (2026). deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics. Remote Sensing of Environment, 332, 115027. https://doi.org/10.1016/j.rse.2025.115027

Preprint

Mosig, C., Kattenborn, T., Montero, D., Vanja-Jehle, J., Brandt, J., Jacobs, N., Khanal, S., Xing, E., Schwartz, M., Muller-Landau, H. C., Beloiu, M., Bozzini, A., Cheng, Y., Ganz, K., Grüning, B., Hartmann, H., Hempel, J., Horion, S., Junttila, S., … Mahecha, M. (2026). Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globe. California Digital Library (CDL). https://doi.org/10.31223/x5b18w

Artículo científico

Muñoz, E., Anaya, J. A., Clerici, N., Estupinan‐Suarez, L. M., Lopera, I., Richter, S., Salazar, A., Sierra, C. A., Tangarife‐Escobar, A., Mahecha, M. D., Montero, D., Palacios‐Rodríguez, P., Ramos, P., & Botía, S. (2026). An interdisciplinary review of the interplay of conflict, socio‐economic factors, and land cover and vegetation dynamics in Colombia. Plants, People, Planet. https://doi.org/10.1002/ppp3.70157

2025

Informe

Galaz, V., Schewenius, M., Donges, J. F., Fetzer, I., Zhivkoplias, E., Barfuss, W., Delannoy, L., Wang-Erlandsson, L., Gelbrecht, M., Heitzig, J., Hentati-Sundberg, J., Kennedy, C., Knecht, N., Lotcheris, R., Mahecha, M., Merrie, A., Montero, D., McPhearson, T., Mustafa, A., … Vadrot, A. (2025). AI for a Planet Under Pressure. arXiv. https://doi.org/10.48550/ARXIV.2510.24373

Artículo científico

Söchting, M., Scheuermann, G., Montero, D., & Mahecha, M. D. (2025). Interactive Earth system data cube visualization in Jupyter notebooks. Big Earth Data, 9(2), 321–335. https://doi.org/10.1080/20964471.2025.2471646

2024

Artículo científico

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

Artículo de conferencia

Martinuzzi, F., Mahecha, M. D., Montero, D., Alonso, L., & Mora, K. (2024). SpectralIndices.jl: Streamlining spectral indices access and computation for Earth system research. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W12-2024, 89–95. https://doi.org/10.5194/isprs-archives-xlviii-4-w12-2024-89-2024

Artículo de conferencia

Montero, D., Aybar, C., Ji, C., Kraemer, G., Söchting, M., Teber, K., & Mahecha, M. D. (2024). On-Demand Earth System Data Cubes. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 7529–7532). IEEE. https://doi.org/10.1109/igarss53475.2024.10640742

Artículo científico

Aybar, C., Bautista, L., Montero, D., Contreras, J., Ayala, D., Prudencio, F., Loja, J., Ysuhuaylas, L., Herrera, F., Gonzales, K., Valladares, J., Flores, L. A., Mamani, E., Quiñonez, M., Fajardo, R., Espinoza, W., Limas, A., Yali, R., Alcántara, A., … Gómez-Chova, L. (2024). CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2. Data in Brief, 56, 110852. https://doi.org/10.1016/j.dib.2024.110852

Artículo científico

Söchting, M., Mahecha, M. D., Montero, D., & Scheuermann, G. (2024). Lexcube: Interactive Visualization of Large Earth System Data Cubes. IEEE Computer Graphics and Applications, 44(1), 25–37. https://doi.org/10.1109/mcg.2023.3321989

Artículo de conferencia

Montero, D., Mahecha, M. D., Aybar, C., Mosig, C., & Wieneke, S. (2024). Facilitating advanced Sentinel-2 analysis through a simplified computation of Nadir BRDF Adjusted Reflectance. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W12-2024, 105–112. https://doi.org/10.5194/isprs-archives-xlviii-4-w12-2024-105-2024

Artículo científico

Aybar, C., Montero, D., Contreras, J., Donike, S., Kalaitzis, F., & Gómez-Chova, L. (2024). SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-04214-y

Artículo científico

Aybar, C., Montero, D., Donike, S., Kalaitzis, F., & Gómez-Chova, L. (2024). A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution. IEEE Geoscience and Remote Sensing Letters, 21, 1–5. https://doi.org/10.1109/lgrs.2024.3401394

Artículo de conferencia

Montero, D., Mahecha, M. D., Martinuzzi, F., Aybar, C., Klosterhalfen, A., Knohl, A., Koebsch, F., Anaya, J., & Wieneke, S. (2024). Recurrent Neural Networks for Modelling Gross Primary Production. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 4214–4217). IEEE. https://doi.org/10.1109/igarss53475.2024.10640715

Artículo científico

Kattenborn, T., Wieneke, S., Montero, D., Mahecha, M. D., Richter, R., Guimarães-Steinicke, C., Wirth, C., Ferlian, O., Feilhauer, H., Sachsenmaier, L., Eisenhauer, N., & Dechant, B. (2024). Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01712-0

Artículo científico

Martinuzzi, F., Mahecha, M. D., Camps-Valls, G., Montero, D., Williams, T., & Mora, K. (2024). Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, 31(4), 535–557. https://doi.org/10.5194/npg-31-535-2024

2023

Artículo científico

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. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02096-0

2022

Artículo de conferencia

Montero, D., Aybar, C., Mahecha, M. D., & Wieneke, S. (2022). spectral: Awesome Spectral Indices deployed via the Google Earth Engine JavaScript API. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W1-2022, 301–306. https://doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-301-2022

Artículo científico

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. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01878-2

2021

Artículo científico

Montero, D. (2021). eemont: A Python package that extends Google Earth Engine. Journal of Open Source Software, 6(62), 3168. https://doi.org/10.21105/joss.03168

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Ciencia, software e ideas para un planeta cambiante.