García-Rodríguez, D., Samper-Zapater, J.J., Gutiérrez-Moret, J., Catret-Ruber, P., Martínez, B., Pérez-Hoyos, A., López-Baeza, E., Martínez-Durá, J.J. Data Semantics for Earth Observation: A Technical Guide to Ontology-Based Integration for Environmental Data Monitoring. (2026). IEEE Geoscience and Remote Sensing Magazine [Link]

Campos-Taberner, M., Gilabert, M. A., Sánchez-Ruiz, S., Martínez, B., Jiménez-Guisado, A., García-Haro, F. J. Ecosystem carbon use efficiency at global scale from upscaling eddy-covariance data with machine learning and MODIS products. Scientific Reports, (2025). Scientific Reports pp. 44496.  [Link]

Martínez, B., Sánchez-Ruíz, S., Campos-Taberner, M., Jiménez-Guisado, A., García-Haro, F.J., Gilabert, M.A. Tracking environmental response of Spanish productivity over 20 years. (2025). Remote Sensing Communications [Link]

Martínez, B., García-Morales, V., Manzanares, J.A., Gilabert, M.A. The nonlinear embeddings method for long-term vegetation dynamics. (2025). ISPRS Journal of Photogrammetry and Remote Sensing pp. 364-380.  [Link]

Jiménez-Guisado, A., García-Haro, F.J., Campos-Taberner, M., et al. Towards a unifying framework for biophysical variables retrieval from EUMETSAT sensors: application to Meteosat data. (2025). IEEE Transactions on Geoscience and Remote Sensing [Link]

Jiménez-Guisado, A., García-Haro, F. J., Campos-Taberner, M., Sánchez-Ruiz, S., Martínez, B., Gilabert, M.A. Methods for biophysical variables retrieval from Earth observation. (2025). Capítulo del libro ‘Carbon Fluxes and Biophysical Variables from Earth Observation. Methods and Ecosystem Assessment
ISBN: 9780443299919
ISSN: 9780443299926 [Link]

Martínez, B., Sánchez-Ruiz, S., Campos-Taberner, M., Jiménez-Guisado, A., Trigo, I., García-Haro, F. J., Gilabert, M.A. 20 years of GPP estimates from EUMETSAT geostationary satellite: data record and development of the MDGPP LSA SAF product. ISBN: 978-0-443-29991-9. Elsevier. (2025). Capítulo del libro ‘Carbon Fluxes and Biophysical Variables from Earth Observation. Methods and Ecosystem Assessment’.
ISBN: 9780443299919
ISSN: 9780443299926 [Link]

Martínez-Ferrer, L., Moreno-Martínez, A., Muñoz-Marí, J., Izquierdo-Verdiguier, E., García-Haro, F.J., Camps-Valls, G. High-resolution biophysical parameter estimation at scale with uncertainties. (2025). Capítulo del libro ‘Carbon Fluxes and Biophysical Variables from Earth Observation. Methods and Ecosystem Assessment’.
ISBN: 9780443299919
ISSN: 9780443299926 [Link]

Campos-Taberner, M., Martínez, B., Sánchez-Ruiz, S. Libro (2025). Carbon Fluxes and Biophysical Variables from Earth Observation - Methods for Ecosystem Assessment.
ISBN: 9780443299919
ISSN: 9780443299926 [Link]

Rhif, M., Martínez, B., Ben Abbes, A., Riadh Farah, I. Gross primary production prediction and future projection: motivations, challenges, and new directions. (2025). Capítulo del libro ‘Carbon Fluxes and Biophysical Variables from Earth Observation. Methods and Ecosystem Assessment
ISBN: 9780443299919
ISSN: 9780443299926

García-Rodríguez. D., Pérez-Hoyos, A., Martínez, B., Catret Ruber, P., Samper-Zapater, J.J., López-Baeza, E., Martínez Durá, J.J. Comparative analysis of different algorithms for VAS station land cover classification with limited training points. (2025). International Journal of Applied Earth Observation and Geoinformation  pp. 104537.  [Link]

Brown, L., Morris, H., MacLachlan, A., D'Adamo, F., Adams, J., López-Baeza, E., Albero, E., Martínez, B., Sánchez-Ruiz, S., Campos-Taberner, M., et al. Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies. (2024). Remote Sensing pp. 2066.  [Link]

Campos-Taberner, M., Gilabert, M.A., Sánchez-Ruiz, S., Martínez, B., Jiménez-Guisado, A., García-Haro, F.J., & Guanter, L. Global carbon fluxes using multioutput Gaussian processes regression and MODIS products. (2024). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing pp. 11310-11321. [Link]

Wang, Q., Moreno-Martínez, A., Muñoz-Marí, J., Campos-Taberner, M., Camps-Valls, G. Estimation of vegetation traits with kernel NDVI (2023). ISPRS Journal of Photogrammetry and Remote Sensing pp.  408-417 [Link]

Martínez, B., Sánchez-Ruiz, S., Campos-Taberner, M., García-Haro, F.J., Gilabert, M.A. Cambios en la producción primaria bruta (GPP) de la vegetación natural en la Comunidad Valenciana (2001-2018) (2022). Revista de Teledetección pp. 15-27 [Link]

Camps-Valls, G., Campos-Taberner, M., Laparra, V., Martino, L., Muñoz-Marí, J. Retrieval of Physical Parameters With Deep Structured Kernel Regression (2022). IEEE Transactions on Geoscience and Remote Sensing pp. 1-10 [Link]

Martínez-Ferrer, L., Moreno-Martínez, A., Campos-Taberner, M., García-Haro, F.J., Muñoz-Marí, J., Running, S.W., Kimball, J., Clinton, N., Camps-Valls, G. Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning (2022). Remote Sensing of Environment [Link]

Rhif, M., Ben Abbes, A., Martínez, B., Riadh Farah, I., Gilabert, M.A. Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region. (2022). ISPRS Journal of Photogrammetry and Remote Sensing pp.216–233 [Link]

Martínez, B., Sánchez-Ruiz, S., Campos-Taberner, M., García-Haro, F.J; Gilabert, M.A. Exploring Ecosystem Functioning in Spain with Gross and Net Primary Production Time Series (2022). Remote Sensing [Link]

Rhif, M., Ben Abbes, A., Martínez, B., de Jong, R., SangFarah, Y., I. R. Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics (2022). Ecological Informatics [Link]

Adsuara, J.E., Campos-Taberner, M., García-Haro, F.J., Gatta, C., Romero, A., Camps-Valls, G. Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks (2021). Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences [Link]

Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, A., Walther, S., Duveiller, G., Cescatti, A., Mahecha, M. D., Muñoz-Marí, J., García-Haro, F. J., Guanter, L., Jung, M., Gamon, J. A., Reichstein, M., Running, S. W. A unified vegetation index for quantifying the terrestrial biosphere (2021). Science Advances vol. 7, no. 9, eabc7447 [Link]

Campos-Taberner, M., García-Haro, F. J., Martínez, B., Gilabert, M. A. Deep learning for agricultural land use classification from Sentinel-2 (2020). Revista de Teledetección no. 56, pp. 35-48 [Link]

Campos-Taberner, M., García-Haro, F. J., Martínez, B., Izquierdo-Verdiguier, E., Atzberger, C., Camps-Valls, G., Gilabert, M. A. Understanding deep learning in land use classification based on Sentinel-2 time series (2020). Scientific reports vol. 10, no. 17188, pp. 1–12. [Link]