Sylvain Jay
Cited by
Cited by
s2toolbox level 2 products: LAI, FAPAR, FCOVER
M Weiss, F Baret, S Jay
Institut National de la Recherche Agronomique (INRA), Avignon, 2016
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
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
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
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
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
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
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
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
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
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
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
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
Uncertainties in ocean colour remote sensing
F Mélin
International Ocean Colour Coordinating Group (IOCCG), 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
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
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
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
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
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
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