A5039849451- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Species Distribution and Climate Change
- Atmospheric and Environmental Gas Dynamics
- Water Quality Monitoring and Analysis
- Plant responses to elevated CO2
- Leaf Properties and Growth Measurement
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Ecology and Vegetation Dynamics Studies
- Plant Ecology and Soil Science
- Marine and coastal ecosystems
- Land Use and Ecosystem Services
- Aquatic Ecosystems and Phytoplankton Dynamics
- Forest ecology and management
- Geophysics and Gravity Measurements
- Climate variability and models
- Calibration and Measurement Techniques
- Cassava research and cyanide
- Horticultural and Viticultural Research
- Light effects on plants
- Climate change and permafrost
- Global Energy and Sustainability Research
- Crop Yield and Soil Fertility
- Climate Change and Health Impacts
Centre National de la Recherche Scientifique
2014-2024
Sorbonne Université
2020-2024
Laboratoire de Météorologie Dynamique
2020-2024
École Polytechnique
2023-2024
Institut Pierre-Simon Laplace
2021
Écologie, Systématique et Évolution
2012-2020
University of Nebraska–Lincoln
2018-2020
Université Paris-Sud
2012-2019
AgroParisTech
2012-2019
Université Paris-Saclay
2016-2019
The use of the photochemical reflectance index (PRI) as a promising proxy light efficiency (LUE) has been extensively studied, and some issues have identified, notably sensitivity PRI to leaf pigment composition variability in response LUE because stress. In this study, we introduce method that enables us track short-term changes photosynthetically active radiation (PAR) changes. analysis these relationships between throughout growing season two species (Quercus robur L. Fagus sylvatica L.)...
Summary We aimed to evaluate the importance of modulations within‐tree carbon (C) allocation by water and low‐temperature stress for prediction annual forest growth with a process‐based model. A new C scheme was implemented in CASTANEA model that accounts lagged direct environmental controls allocation. Different approaches (static vs dynamic) modelling were then compared model–data fusion procedure, using satellite‐derived leaf production estimates biometric measurements at c . 10 4 sites....
Annual time-series of the two satellites C-band SAR (Synthetic Aperture Radar) Sentinel-1A and 1B data over five years were used to characterize phenological cycle a temperate deciduous forest. Six metrics start (SOS), middle (MOS) end (EOS) budburst leaf expansion stage in spring, (SOF), (MOF) (EOF) senescence autumn extracted using an asymmetric double sigmoid function (ADS) fitted ratio (VV/VH) backscattering at co-polarization VV (vertical–vertical) cross polarization VH...
Sun-Induced chlorophyll Fluorescence (SIF) is the most promising optical indicator of Gross Primary Production (GPP) in terrestrial ecosystems. However, interpretation SIF as a proxy GPP challenged when plants experience abiotic stress, particularly during extreme climatic events whose frequency projected to increase future. Recently, feasibility canopy-scale active fluorescence measurements (LED-induced fluorescence), which directly measure apparent yield (FyieldLIF), has provided new...
The sensitivity of the photochemical reflectance index (PRI) to leaf pigmentation and its impacts on potential as a proxy for light-use efficiency (LUE) have recently been shown be problematic at scale. Most leaf-to-leaf seasonal variability can explained by such confounding effect. This study relies analysis PRI light curves that were generated canopy scale under natural conditions derive precise deconvolution pigment-related physiologically related in PRI. These sources measured or...
Abstract Sun‐induced fluorescence (SIF) has been found to be strongly correlated with gross primary production (GPP) in a quasi‐linear pattern at the scales beyond leaves. However, causes of GPP:SIF relationship deviating from linear remain unclear. In current study conducted two maize sites Nebraska 2017 summer growing season, we investigated between GPP and SIF 760 nm (F ) temporal quantified contributions incoming photosynthetically active radiation (PAR ), fraction absorbed PAR (fPAR),...
Abstract. Tree phenology is a major driver of forest–atmosphere mass and energy exchanges. Yet, tree has rarely been monitored in consistent way throughout the life flux-tower site. Here, we used seasonal time series ground-based NDVI (Normalized Difference Vegetation Index), RGB camera GCC (greenness chromatic coordinate), broadband NDVI, LAI (leaf area index), fAPAR (fraction absorbed photosynthetic active radiation), CC (canopy closure), fRvis reflected radiation) GPP (gross primary...
Remotely sensed vegetation indices (RSVIs) can be used to efficiently estimate terrestrial primary productivity across space and time. Terrestrial productivity, however, has many facets (e.g., spatial temporal variability, including seasonality, interannual trends), different may not equally good at predicting them. Their accuracy in monitoring been mostly tested single-ecosystem studies, but their performance ecosystems distributed over large areas still needs fully explored. To fill this...
Abstract. An accurate estimation of vegetation gross primary productivity (GPP), which is the amount carbon taken up by through photosynthesis for a given time and area, critical understanding terrestrial–atmosphere CO2 exchange processes ecosystem functioning, as well responses adaptations to climate change. Prior studies, based on ground, airborne, satellite sun-induced chlorophyll fluorescence (SIF) observations, have recently revealed close relationships with GPP at different spatial...
Abstract. Data from satellite, aircraft, drone, and ground-based measurements have already shown that canopy-scale sun-induced chlorophyll fluorescence (SIF) is tightly related to photosynthesis, which linked vegetation carbon assimilation. However, our ability effectively use those findings are hindered by confounding factors, including canopy structure, fluctuations in solar radiation, sun–canopy geometry highly affect the SIF signal. Thus, disentangling these factors has become paramount...
Abstract. Far-red Sun-Induced chlorophyll Fluorescence (SIF) is increasingly used as a proxy of vegetation Gross Primary Production (GPP) across different ecosystems and at spatiotemporal resolutions going from proximal to satellite-based remote sensing measurements. However, the use SIF probe variations in GPP forests challenged by (1) confounding factors such canopy structure sun-canopy geometry, (2) leaf physiological biochemical properties along with abiotic (light intensity,...