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Publications

Selected research across Earth observation, Earth system data cubes, vegetation dynamics, artificial intelligence, and open scientific software. The complete record is available on Google Scholar.

2026

Research article

Camps-Valls, G., Carrassi, A., de Melo Viríssimo, F., Debeire, K., Fernández-Torres, M.-Á., Hess, P., Heuer, H., Mankovich, N., Montero, D., Rodrigo-Bonet, E., Serva, F., Sitokonstantinou, V., White, A., Cohrs, K.-H., Wider, J., Reimers, C., Bountos, N. I., Papoutsis, I., Gentine, P., & Eyring, V. (2026). Bridging the weather and climate divide with artificial intelligence. Nature Communications, 17(1). https://doi.org/10.1038/s41467-026-75787-y

Research article

Peters, J., Mora, K., Mahecha, M. D., Ji, C., Montero, D., Mosig, C., & Kraemer, G. (2026). Context-Aware Multimodal Representation Learning for Spatio-Temporally Explicit Environmental Modeling. IEEE Transactions on Geoscience and Remote Sensing, 64, 4412311–4412311. https://doi.org/10.1109/tgrs.2026.3707966

Research article

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

Research article

Williams, T. K. E., Durand, H., Braun, T., Martinuzzi, F., Montero, D., Mahecha, M. D., & Camps-Valls, G. (2026). Kernel detrended fluctuation analysis: A nonlinear, multivariate method for detecting long-range persistence. Chaos: An Interdisciplinary Journal of Nonlinear Science, 36(3). https://doi.org/10.1063/5.0316179

Preprint

Mosig, C., Kattenborn, T., Montero Loaiza, 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

Research article

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

Research article

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

2025

Preprint

Montero, D., Mahecha, M. D., Martinuzzi, F., Aybar, C., Klosterhalfen, A., Knohl, A., Anaya, J., Mosig, C., & Wieneke, S. (2025). Transformers vs. Recurrent Models for Estimating Forest Gross Primary Production. arXiv. https://doi.org/10.48550/ARXIV.2511.11880

Report

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

Research article

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

Research article

Ji, C., Fincke, T., Benson, V., Camps-Valls, G., Fernández-Torres, M.-Á., Gans, F., Kraemer, G., Martinuzzi, F., Montero, D., Mora, K., Pellicer-Valero, O. J., Robin, C., Söchting, M., Weynants, M., & Mahecha, M. D. (2025). DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-04447-5

Conference paper

Aybar, C., Contreras, J., Ma, C., Pellicer-Valero, O. J., Mateo-García, G., Gómez-Chova, L., Camps-Valls, G., Lehmann, N., Czerkawski, M., Montero, D., Mahecha, M. D., & Aybar, I. (2025). The Missing Piece: Standardising for AI-ready Earth Observation Datasets. In TerraBytes - ICML 2025 workshop. https://openreview.net/forum?id=HV6F0dsGLK

2024

Research article

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

Research article

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

Research article

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

Research article

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

Conference paper

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

Conference paper

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

Conference paper

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

Research article

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

Conference paper

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

Research article

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

Research article

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

2023

Book chapter

Aybar, C., Montero, D., Barja, A., Herrera, F., Gonzales, A., & Espinoza, W. (2023). Combining R and Earth Engine. In Cloud-Based Remote Sensing with Google Earth Engine (pp. 629–651). Springer International Publishing. https://doi.org/10.1007/978-3-031-26588-4_31

Conference paper

Aybar, C., Montero, D., Mateo-García, G., & Gómez-Chova, L. (2023). Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 892–895). IEEE. https://doi.org/10.1109/igarss52108.2023.10282381

Research article

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

Research article

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

Conference paper

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

2021

Research article

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

2018

Research article

Montero, D., Echeverry, F., & Hernández, F. (2018). Combination of satellite imagery with meteorological data for estimating reference evapotranspiration. Revista de Teledetección, (51), 75. https://doi.org/10.4995/raet.2018.7688

2017

Research article

Valencia, J. M., García, C. E., & Montero, D. (2017). Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia. Revista de Teledetección, (50), 89. https://doi.org/10.4995/raet.2017.7715

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