C. Bacour

发表

Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation

F. Baret, M. Weiss, C. Bacour, 2006 .

Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data

M. Weiss, M. Leroy, C. Bacour, 2002 .

PROSPECT+SAIL models: A review of use for vegetation characterization

W. Verhoef, S. Ustin, F. Baret, 2009 .

Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data

F. Baret, M. Weiss, M. Leroy, 2002 .

Variability of biome reflectance directional signatures as seen by POLDER

C. Bacour, F. Bréon, 2005 .

Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget

C. Bacour, F. Bréon, F. Chevallier, 2018, Journal of Geophysical Research: Atmospheres.

Design and analysis of numerical experiments to compare four canopy reflectance models

C. Bacour, 2002 .

Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model

N. Vuichard, C. Frankenberg, F. Maignan, 2019, Journal of Geophysical Research: Biogeosciences.

A method for aerosol correction from the spectral variation in the visible and near infrared: application to the MERIS sensor

F. Baret, C. Bacour, D. Beal, 2007 .

OPTIMAL SAMPLING CONFIGURATIONS FOR THE ESTIMATION OF CANOPY PROPERTIES FROM BRDF DATA ACQUIRED WITH THE EGO / JRC

C. Bacour, S. Jacquemoud, G. Andreoli, 2006 .

Algorithm Theoretical Basis Document for MERIS Top of Canopy Land Products ( TOC _ VEG ) Version 3

F. Baret, B. Berthelot, C. Bacour, 2005 .

A Method for Aerosol Retrieval from the Spectral Variation in the Visible and Near Infrared . Application to the MERIS Sensor

F. Baret, C. Bacour, K. Pavageau, 2005 .

Canopy Biophysical Variables Estimation from MERIS Observations based on Neural Networks and Radiative Transfer Modelling: Principles and Validation

F. Baret, M. Weiss, C. Bacour, 2005 .

Information Content of HyMap Hyperspectral Imagery

F. Baret, C. Bacour, S. Jacquemoud, 2002 .

Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.

C. Bacour, H. Poilvé, S. Jacquemoud, 2000 .

Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data

Philip Lewis, F. Maignan, L. Guanter, 2018, Scientific Reports.

Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions

P. Blanken, C. Frankenberg, F. Maignan, 2020 .

Wide Discrepancies in the Magnitude and Direction of Modelled SIF in Response to Light Conditions

P. Blanken, C. Frankenberg, F. Maignan, 2020 .

Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model

E. Dufrene, C. Bacour, D. Berveiller, 2015 .

Normalization of the directional effects in NOAA–AVHRR reflectance measurements for an improved monitoring of vegetation cycles

F. Maignan, C. Bacour, F. Bréon, 2006 .

A METHOD FOR ATMOSPHERIC CORRECTION BASED ON THE MERIS SPECTRAL VARIABILITY

F. Baret, C. Bacour, D. Beal, 2004 .

Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2)

C. Bacour, P. Peylin, N. MacBean, 2018, Geoscientific Model Development.

Ecosystem model optimization using in situ flux observations: Benefit of Monte Carlo versus variational schemes and analyses of the year-to-year model performances

Philippe Ciais, Philippe Peylin, Cédric Bacour, 2013 .

The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites

P. Ciais, C. Bacour, B. Longdoz, 2017 .

Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model

P. Blanken, P. Ciais, N. Vuichard, 2019, Global Ecology and Biogeography.

Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

P. Ciais, F. Maignan, C. Bacour, 2015 .

Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities

P. Ciais, Tao Wang, C. Bacour, 2017 .

Biogeosciences A framework for benchmarking land models

J. Randerson, D. Lawrence, P. Ciais, 2012 .

Author Correction: Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data

Mathias Disney, Philip Lewis, Luis Guanter, 2018, Scientific Reports.

The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission

T. V. van Kempen, I. Aben, C. Frankenberg, 2021, Earth System Science Data.

Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model

C. Ottlé, F. Maignan, C. Bacour, 2022, Global Biogeochemical Cycles.

Seasonal patterns of CO 2 fluxes in Amazon forests : fusion of 1 eddy covariance data and the ORCHIDEE model 2 3

P. Ciais, C. Bacour, P. Peylin, 2011 .

Precipitation amount, seasonality and frequency regulate carbon cycling of a semi-arid grassland ecosystem in Inner Mongolia, China: A modeling analysis

Philippe Ciais, Shilong Piao, Anping Chen, 2013 .

Information for of multiple different datasets results in large 2 differences in regional to global-scale NEE and GPP budgets simulated by a terrestrial 3 biosphere model”

C. Bacour, F. Chevallier, N. MacBean, 2022 .

A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band

L. Guanter, C. Bacour, Liangyun Liu, 2023, Remote Sensing of Environment.

Effect of senescent leaves on NDVI-based estimates of fAPAR: Experimental and modelling evidences

F. Baret, F. Baret, C. Bacour, 2004 .

Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling

F. Maignan, C. Bacour, F. Chevallier, 2021, Atmospheric Chemistry and Physics.

Interannual vegetation phenology estimates from global AVHRR measurements: Comparison with in situ data and applications

Fabienne Maignan, Jérôme Demarty, François-Marie Bréon, 2008 .

Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales

Marc Bouvet, Xavier Briottet, François-Marie Bréon, 2019, Remote. Sens..

Land surface model parameter optimisation using in-situ flux data: comparison of gradient-based versus random search algorithms

C. Bacour, P. Peylin, N. MacBean, 2018 .

A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle

Fabienne Maignan, Natasha MacBean, Cédric Bacour, 2016 .

A framework for benchmarking land models

Philippe Ciais, Christopher R. Schwalm, Shilong Piao, 2012 .

Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework

Stephanie G. Stettz, P. Blanken, A. Bloom, 2022, Biogeosciences.

Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model-data fusion framework

Stephanie G. Stettz, P. Blanken, A. Bloom, 2021 .

Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model

C. Bacour, F. Chevallier, P. Peylin, 2023, Biogeosciences.

Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective

J. Joiner, P. Peylin, L. Guanter, 2019, Journal of Geophysical Research: Biogeosciences.

Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data

F. Maignan, L. Guanter, C. Bacour, 2018, Scientific Reports.

Seasonal patterns of CO2 fluxes in Amazon forests: Fusion of eddy covariance data and the ORCHIDEE model

P. Ciais, C. Bacour, P. Peylin, 2011 .

Simulating Multi-Directional Narrowband Reflectance of the Earth's Surface Using ADAM (A Surface Reflectance Database for ESA's Earth Observation Missions)

François-Marie Bréon, Jan Muller, Cédric Bacour, 2020, Remote. Sens..

Constraining a global ecosystem model with multi-site eddy-covariance data

Fabienne Maignan, Andrew D. Richardson, Philippe Peylin, 2012 .

Reply on RC1

C. Bacour, 2022 .

Contribution to Sandy Site Characterization: Spectro-Directional Signature, Grain Size Distribution and Mineralogy Extracted from Sand Samples

Marc Bouvet, Ramzi Idoughi, Thomas Rivière, 2019, Remote. Sens..

Vapor Pressure Deficit and Sunlight Explain Seasonality of Leaf Phenology and Photosynthesis Across Amazonian Evergreen Broadleaved Forest

P. Ciais, F. Maignan, C. Bacour, 2021, Global Biogeochemical Cycles.

Warming and drought weaken the carbon sink capacity of an endangered paleoendemic temperate rainforest in South America

C. Bacour, J. Barichivich, A. Lara, 2023, Journal of geophysical research. Biogeosciences.

Radiation transfer model intercomparison (RAMI) exercise

Nadine Gobron, Bernard Pinty, Michel M. Verstraete, 2001 .

Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales

C. Bacour, F. Bréon, X. Briottet, 2019, Remote. Sens..