| Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle JAJ Berni, PJ Zarco-Tejada, L Suárez, E Fereres IEEE Transactions on geoscience and Remote Sensing 47 (3), 722-738, 2009 | 1670 | 2009 |
| Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera PJ Zarco-Tejada, V González-Dugo, JAJ Berni Remote Sensing of Environment 117, 322-337, 2012 | 1076 | 2012 |
| Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery JAJ Berni, PJ Zarco-Tejada, G Sepulcre-Cantó, E Fereres, F Villalobos Remote Sensing of Environment 11 (113), 2380-2388, 2009 | 506 | 2009 |
| Proximal remote sensing buggies and potential applications for field-based phenotyping D Deery, J Jimenez-Berni, H Jones, X Sirault, R Furbank Agronomy 4 (3), 349-379, 2014 | 469 | 2014 |
| Pheno-copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping SC Chapman, T Merz, A Chan, P Jackway, S Hrabar, MF Dreccer, ... Agronomy 4 (2), 279-301, 2014 | 354 | 2014 |
| Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection PJ Zarco-Tejada, JAJ Berni, L Suárez, G Sepulcre-Cantó, F Morales, ... Remote Sensing of Environment 113 (6), 1262-1275, 2009 | 350 | 2009 |
| A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index PJ Zarco-Tejada, V González-Dugo, LE Williams, L Suárez, JA Berni, ... Remote Sensing of Environment 138, 38-50, 2013 | 348 | 2013 |
| High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR JA Jimenez-Berni, DM Deery, P Rozas-Larraondo, ATG Condon, ... Frontiers in plant science 9, 237, 2018 | 325 | 2018 |
| Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors JAJ Berni, PJ Zarco-Tejada, L Suárez, V González-Dugo, E Fereres Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci 38 (6), 6, 2009 | 273 | 2009 |
| Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops RT Furbank, JA Jimenez‐Berni, B George‐Jaeggli, AB Potgieter, ... New Phytologist 223 (4), 1714-1727, 2019 | 213 | 2019 |
| New sensors and data-driven approaches—A path to next generation phenomics T Roitsch, L Cabrera-Bosquet, A Fournier, K Ghamkhar, J Jiménez-Berni, ... Plant Science 282, 2-10, 2019 | 197 | 2019 |
| Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data I Moorthy, JR Miller, JAJ Berni, P Zarco-Tejada, B Hu, J Chen Agricultural and Forest Meteorology 151 (2), 204-214, 2011 | 193 | 2011 |
| Modelling PRI for water stress detection using radiative transfer models L Suárez, PJ Zarco-Tejada, JAJ Berni, V González-Dugo, E Fereres Remote Sensing of Environment 113 (4), 730-744, 2009 | 188 | 2009 |
| Methodology for high-throughput field phenotyping of canopy temperature using airborne thermography DM Deery, GJ Rebetzke, JA Jimenez-Berni, RA James, AG Condon, ... Frontiers in plant science 7, 1808, 2016 | 173 | 2016 |
| Almond tree canopy temperature reveals intra-crown variability that is water stress-dependent V Gonzalez-Dugo, P Zarco-Tejada, JA Berni, L Suarez, D Goldhamer, ... Agricultural and Forest Meteorology 154, 156-165, 2012 | 169 | 2012 |
| Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery L Suárez, PJ Zarco-Tejada, V González-Dugo, JAJ Berni, R Sagardoy, ... Remote Sensing of Environment 114 (2), 286-298, 2010 | 163 | 2010 |
| An insight to the performance of crop water stress index for olive trees N Agam, Y Cohen, JAJ Berni, V Alchanatis, D Kool, A Dag, U Yermiyahu, ... Agricultural Water Management 118, 79-86, 2013 | 147 | 2013 |
| Vegetation height products between 60° S and 60° N from ICESat GLAS data. SO Los, J Rosette, N Kljun, PRJ North, L Chasmer, J Suárez, ... Geoscientific Model Development 5, 413-432, 2012 | 127 | 2012 |
| High-throughput phenotyping to enhance the use of crop genetic resources GJ Rebetzke, J Jimenez-Berni, RA Fischer, DM Deery, DJ Smith Plant Science 282, 40-48, 2019 | 117 | 2019 |
| High-throughput phenotyping technologies allow accurate selection of stay-green GJ Rebetzke, JA Jimenez-Berni, WD Bovill, DM Deery, RA James Journal of experimental botany 67 (17), 4919-4924, 2016 | 112 | 2016 |
Pablo J. Zarco-TejadaIAS-CSICE-mail megerősítve itt: csic.es