| Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for … S Jay, F Maupas, R Bendoula, N Gorretta Field Crops Research 210, 33-46, 2017 | 210 | 2017 |
| In-field crop row phenotyping from 3D modeling performed using Structure from Motion S Jay, G Rabatel, X Hadoux, D Moura, N Gorretta Computers and Electronics in Agriculture 110, 70-77, 2015 | 162 | 2015 |
| Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops S Jay, F Baret, D Dutartre, G Malatesta, S Héno, A Comar, M Weiss, ... Remote Sensing of Environment 231, 110898, 2019 | 136 | 2019 |
| Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning JB Féret, G Le Maire, S Jay, D Berveiller, R Bendoula, G Hmimina, ... Remote Sensing of Environment 231, 110959, 2019 | 112 | 2019 |
| Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery S Jay, N Gorretta, J Morel, F Maupas, R Bendoula, G Rabatel, D Dutartre, ... Remote Sensing of Environment 198, 173-186, 2017 | 111 | 2017 |
| A physically-based model for retrieving foliar biochemistry and leaf orientation using close-range imaging spectroscopy S Jay, R Bendoula, X Hadoux, JB Féret, N Gorretta Remote Sensing of Environment 177, 220-236, 2016 | 98 | 2016 |
| A novel maximum likelihood based method for mapping depth and water quality from hyperspectral remote-sensing data S Jay, M Guillaume Remote Sensing of Environment 147, 121-132, 2014 | 90 | 2014 |
| Hyperspectral remote sensing of shallow waters: Considering environmental noise and bottom intra-class variability for modeling and inversion of water reflectance S Jay, M Guillaume, A Minghelli, Y Deville, M Chami, B Lafrance, ... Remote Sensing of Environment 200 (C), 352-367, 2017 | 59 | 2017 |
| Underwater target detection with hyperspectral data: Solutions for both known and unknown water quality S Jay, M Guillaume, J Blanc-Talon IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 43 | 2012 |
| Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology J Morel, S Jay, JB Féret, A Bakache, R Bendoula, F Carreel, N Gorretta Scientific Reports 8 (1), 15933, 2018 | 27 | 2018 |
| Regularized estimation of bathymetry and water quality using hyperspectral remote sensing S Jay, M Guillaume International Journal of Remote Sensing 37 (2), 263-289, 2016 | 24 | 2016 |
| Scoring cercospora leaf spot on sugar beet: Comparison of UGV and UAV phenotyping systems S Jay, A Comar, R Benicio, J Beauvois, D Dutartre, G Daubige, W Li, ... Plant Phenomics, 2020 | 20 | 2020 |
| Uncertainties in ocean colour remote sensing F Mélin International Ocean Colour Coordinating Group (IOCCG), 2019 | 16 | 2019 |
| S2 ToolBox Level 2 Products: LAI, FAPAR, FCOVER. 2016 M Weiss, F Baret, S Jay URL https://step. esa. int/docs/extra/ATBD_S2ToolBox_L2B_V1 1, 0 | 14 | |
| Predicting minimum uncertainties in the inversion of ocean color geophysical parameters based on Cramer-Rao bounds S Jay, M Guillaume, M Chami, A Minghelli, Y Deville, B Lafrance, ... Optics Express 26 (2), A1-A18, 2018 | 11 | 2018 |
| A spectral-spatial approach for hyperspectral image classification using spatial regularization on supervised score image X Hadoux, S Jay, G Rabatel, N Gorretta IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 | 11 | 2014 |
| Characterization of building materials by means of spectral remote sensing: The example of Carcassonne's defensive wall (Aude, France) C Sciuto, D Allios, R Bendoula, A Cocoual, ME Gardel, P Geladi, ... Journal of Archaeological Science: Reports 23, 396-405, 2019 | 8 | 2019 |
| Potential of hyperspectral imagery for nitrogen content retrieval in sugar beet leaves S Jay, X Hadoux, N Gorretta, G Rabatel International Conference of Agricultural Engineering (AgEng 2014), 2014 | 8 | 2014 |
| Analysis and quantification of seabed adjacency effects in the subsurface upward radiance in shallow waters M Chami, X Lenot, M Guillaume, B Lafrance, X Briottet, A Minghelli, S Jay, ... Optics Express 27 (8), A319-A338, 2019 | 7 | 2019 |
| Estimationofwater column parameters with a maximum likelihood approach S Jay, M Guillaume 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2011 | 7 | 2011 |
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