2025; Li, P., Poblete, T., Hornero, A., Aryal, J., Zarco-Tejada, P.J.; Distinct contribution of the blue spectral region and far-red solar-induced fluorescence to needle nitrogen and phosphorus assessment in coniferous nutrient trials with hyperspectral imagery; Remote Sensing of Environment; 10.1016/j.rse.2025.114915; https://quantalab.ias.csic.es/pdf/1-s2.0-S0034425725003190-main.pdf
2025; Finnegan, R., Metcalfe, J., Sharifzadeh, S., Caraffini, F., Xie, X., Hornero, A., Synes, N.; Temporal optimisation of satellite image-based crop mapping: a comparison of deep time series and semi-supervised time warping strategies; IET Computer Vision; 10.1049/cvi2.70014; pdf/2025_Finnegan_IET-Computer-Vision.pdf
2025; Pearson, K., North, P., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J.; Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022; Scientific Data; 10.1038/s41597-025-04694-6; pdf/2025_Pearson_Scientific-Data.pdf
2025; Wang, Y., Suarez, L., Hornero, A., Poblete, T., Ryu, D., Gonzalez-Dugo, V., Zarco-Tejada, P.J.; Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery; Precision Agriculture; 10.1007/s11119-024-10198-x; https://quantalab.ias.csic.es/pdf/PrecisionAgriculture_N_from_Sentinel-2.pdf
2024; Belwalkar, A., Poblete, T., Hornero, A., Hernández-Clemente, R., Zarco–Tejada, P.J.; Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery; International Journal of Applied Earth Observation and Geoinformation; 10.1016/j.jag.2024.104198; https://quantalab.ias.csic.es/pdf/1-s2.0-S1569843224005545-main.pdf
2024; Hornero, A., Zarco-Tejada, P.J., Marengo, I., Faria, N., Hernández-Clemente, R.; Detection of oak decline using radiative transfer modelling and machine learning from multispectral and thermal RPAS imagery; International Journal of Applied Earth Observation and Geoinformation; 10.1016/j.jag.2024.103679; https://quantalab.ias.csic.es/pdf/1-s2.0-S1569843224000335-main.pdf
2023; Longmire, A., Poblete, T., Hornero, A. Chen, D., Zarco-Tejada, P.J.; Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries; ISPRS Journal of Photogrammetry and Remote Sensing; 10.1016/j.isprsjprs.2023.10.018; https://quantalab.ias.csic.es/pdf/1-s2.0-S0924271623002939-main.pdf
2023; Forzieri, G., Dutrieux, L.P., Elia, A., Eckhardt, B., Caudullo, G., Álvarez Taboada, F., Andriolo, A., Bălăcenoiu, F., Bastos, A., Buzatu, A., Castedo Dorado, F., Dobrovolný, L., Duduman, M.-L., Fernandez-Carrillo, A., Hernández-Clemente, R., Hornero, A., Săvulescu, I., Lombardero, M.J., Junttila, S., Lukeš, P., Marianelli, L., Mas, H., Mlčoušek, M., Mugnai, F., Nețoiu, C., Nikolov, C., Olenici, N., Olsson, P.-O., Paoli, F., Paraschiv, M., Patočka, Z., Pérez-Laorga, E., Quero, J.L., Rüetschi, M., Stroheker, S., Nardi, D., Ferenčík, J., Battisti, A., Hartmann, H., Nistor, C., Cescatti, A., Beck, P.S.A.; The Database of European Forest Insect and Disease Disturbances: DEFID2; Global Change Biology; 10.1111/gcb.16912; pdf/2023_Forzieri_Global-Change-Biology.pdf
2023; Hernández-Clemente, R., Hornero, A., Gonzalez-Dugo, V., Berdugo, M., Quero, J.L., Jiménez, J.C., Maestre, F.T.; Global monitoring of soil multifunctionality in drylands using satellite imagery and field data; Remote Sensing in Ecology and Conservation; 10.1002/rse2.340; pdf/2023_Hernandez-Clemente_Remote-Sens-Ecol-Conserv.pdf
2023; Poblete, T., Navas-Cortes, J.A., Hornero, A., Camino, C., Calderon, R.,Hernandez-Clemente, R., Landa, B.B., Zarco-Tejada, P.J.; Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery; Remote Sensing of Environment; 10.1016/j.rse.2023.113698; https://quantalab.ias.csic.es/pdf/1-s2.0-S0034425723002493-main.pdf
2022; Belwalkar, A., Poblete, T., Longmire, A., Hornero, A., Hernandez-Clemente, R., Zarco-Tejada, P.J.; Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping; Remote Sensing of Environment; 10.1016/j.rse.2022.112986; https://quantalab.ias.csic.es/pdf/1-s2.0-S0034425722001006-main.pdf
2021; Hernandez-Clemente, R. and Hornero, A.; Monitoring and assessment of desertification using remote sensing; Ecosistemas; 10.7818/ECOS.2240; pdf/2021_Hernandez-Clemente_Ecosistemas.pdf
2021; Zarco-Tejada, P.J., Poblete, T., Camino, C., Gonzalez-Dugo, V., Calderon, R., Hornero, A., Hernandez-Clemente, R., Román-Écija, M., Velasco-Amo, M.P., Landa, B.B., Beck, P.S.A., Saponari, M., Boscia, D. & Navas-Cortes, J.A.; Divergent abiotic spectral pathways unravel pathogen stress signals across species; Nature Communications; 10.1038/s41467-021-26335-3; https://quantalab.ias.csic.es/pdf/s41467-021-26335-3.pdf
2021; Poblete, T., Navas-Cortes, J.A., Camino, C., Calderon, R., Hornero, A., Gonzalez-Dugo, V., Landa, B.B., and Zarco-Tejada, P.J.; Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits; ISPRS Journal of Photogrammetry and Remote Sensing; 10.1016/j.isprsjprs.2021.07.014; https://quantalab.ias.csic.es/pdf/2021_xylella_verticillium_ISPRS_poblete.pdf
2021; Hornero, A., Zarco-Tejada, P.J., Quero, J.L., North, P.R.J., Ruiz-Gomez, F.J., Sanchez-Cuesta, R., Hernandez-Clemente, R.; Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline; Remote Sensing of Environment; 10.1016/j.rse.2021.112570; https://quantalab.ias.csic.es/pdf/paper_phytophtora_hornero_RSE_2021.pdf
2021; Suarez, L., Zhang, P., Sun, J., Wang, Y., Poblete, T., Hornero, A., Zarco-Tejada, P.J.; Assessing wine grape quality parameters using plant traits derived from physical model inversion of hyperspectral imagery; Agricultural and Forest Meteorology; 10.1016/j.agrformet.2021.108445; https://quantalab.ias.csic.es/pdf/paper_vineyard_modelling_Lola_Suarez_AgForMet.pdf
2021; Hornero, A., North, P.R.J., Zarco-Tejada, P.J., Rascher, U., Martin, M.P., Migliavacca, M., Hernandez-Clemente, R.; Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data; Remote Sensing of Environment; 10.1016/j.rse.2020.112195; https://quantalab.ias.csic.es/pdf/1-s2.0-S003442572030568X-main.pdf
2021; Suárez, L., Gonzalez-Dugo,V., Camino, C., Hornero, A., Zarco-Tejada, P.J.; Physical model inversion of the green spectral region to track assimilation rate in almond trees with an airborne nano-hyperspectral imager; Remote Sensing of Environment; 10.1016/j.rse.2020.112147; https://quantalab.ias.csic.es/pdf/paper_Vcmax_suarez_2021.pdf
2020; Monterroso, A. Redondo‐Villa, A., Gasparini, M., Hornero, A., Iraci, B., Martin-Talaverano, R., Moreno‐Escribano, J. C., Muñoz‐Cádiz, J., Murillo‐Fragero, J. I., Obregón‐Romero, R., Vargas, N., J. Young, S., Yuste, R., Zarco-Tejada, P.J.; A Heritage Science Workflow to Preserve and Narrate a Rural Archeological Landscape Using Virtual Reality: The Cerro del Castillo of Belmez and Its Surrounding Environment (Cordoba, Spain); Applied Sciences; 10.3390/app10238659; https://quantalab.ias.csic.es/pdf/applsci-10-08659.pdf
2020; Prada, M., Cabo, C., Hernández-Clemente, R., Hornero, A., Majada, J., Martínez-Alonso, C.; Assessing Canopy Responses to Thinnings for Sweet Chestnut Coppice with Time-Series Vegetation Indices Derived from Landsat-8 and Sentinel-2 Imagery; Remote Sensing; 10.3390/rs12183068; pdf/2020_Prada_Remote-Sensing.pdf
2020; Poblete, T., Camino, C., Beck, P.S.A., Hornero, A., Kattenborn, T., Saponari, M., Boscia, D., Navas-Cortes, J.A., Zarco-Tejada, P.J.; Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: assessing bandset reduction performance from hyperspectral analysis; ISPRS Journal of Photogrammetry and Remote Sensing; 10.1016/j.isprsjprs.2020.02.010; https://quantalab.ias.csic.es/pdf/1-s2.0-S0924271620300496-main.pdf
2020; Hornero, A., Hernández-Clemente, R., North, P.R.J., Beck, P.S.A., Boscia, D., Navas-Cortes, J.A., Zarco-Tejada, P.J.; Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling; Remote Sensing of Environment; 10.1016/j.rse.2019.111480; https://quantalab.ias.csic.es/pdf/1-s2.0-S0034425719304997-main.pdf
2019; Hernández-Clemente, R., Hornero, A., Mottus, M., Penuelas, J., González-Dugo, V., Jiménez, J.C., Suárez, L., Alonso, L., & Zarco-Tejada, P.J.; Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling; Current Forestry Reports; 10.1007/s40725-019-00096-1; https://quantalab.ias.csic.es/pdf/Hern%C3%A1ndez-Clemente2019_Article_EarlyDiagnosisOfVegetationHeal.pdf
2019; Zarco-Tejada, P.J., Hornero, A., Beck, P.S.A., Kattenborn, T., Kempeneers, P., Hernández-Clemente, R.; Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2 and hyperspectral imagery in the context of forest decline; Remote Sensing of Environment; 10.1016/j.rse.2019.01.031; https://quantalab.ias.csic.es/pdf/1-s2.0-S0034425719300379-main.pdf
2019; Caruso G., Zarco-Tejada P.J., Gonzalez-Dugo V., Moriondo M., Tozzini L., Palai G., Rallo, G., Hornero, A., Primicerio, J., Gucci, R.; High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes; PLoS ONE 14(1): e0210804; 10.1371/journal.pone.0210804; https://quantalab.ias.csic.es/pdf/Caruso%20etal.2019_PlosOne.pdf
2018; Zarco-Tejada, P.J., Camino, C., Beck, P.S.A., Calderon, R., Hornero, A., Hernández-Clemente, R., Kattenborn, T., Montes-Borrego, M., Susca, L., Morelli, M., Gonzalez-Dugo, V., North, P.R.J., Landa, B.B., Boscia, D., Saponari, M., Navas-Cortes, J.A.; Pre-visual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations; Nature Plants; 10.1038/s41477-018-0189-7; https://quantalab.ias.csic.es/pdf/s41477-018-0189-7.pdf
2018; Zarco-Tejada, P.J., Hornero, A., Hernández-Clemente, R., Beck, P.S.A.; Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery; ISPRS Journal of Photogrammetry and Remote Sensing; 10.1016/j.isprsjprs.2018.01.017; https://quantalab.ias.csic.es/pdf/1-s2.0-S0924271618300224-main.pdf
2017; Hernández-Clemente, R., North, P.R.J., Hornero, A., and Zarco-Tejada, P.J.; Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure; Remote Sensing of Environment; 10.1016/j.rse.2017.02.012; https://quantalab.ias.csic.es/pdf/FluorFlight_disease_detection-RSE-2017.pdf
2016; Vergara-Diaz, O., Zaman-Allah, M.A., Masuka, B., Hornero, A., Zarco-Tejada, P.J., Prasanna, B.M., Cairns, J.E., Araus J.L.; A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization; Frontiers in Plant Science; 10.3389/fpls.2016.00666; https://quantalab.ias.csic.es/pdf/fpls-07-00666.pdf
2015; M Zaman-Allah, O Vergara, J L Araus, A Tarekegne, C Magorokosho, P J Zarco-Tejada, A Hornero, A Albà, B Das, P Craufurd, M Olsen, B M Prasanna, J Cairns; Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize; Plant Methods; 10.1186/s13007-015-0078-2; https://quantalab.ias.csic.es/pdf/s13007-015-0078-2.pdf
2014; Hernández-Clemente, R., Navarro-Cerrillo, R.M., Romero Ramírez, F. J., Hornero, A., Zarco-Tejada, P.J.; A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data; Remote Sensing; 10.3390/rs61111627; https://quantalab.ias.csic.es/pdf/rocio_hernandez_DSM_forestry_2014.pdf