A5105763692- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Satellite Image Processing and Photogrammetry
- Calibration and Measurement Techniques
- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Climate variability and models
- Geophysics and Gravity Measurements
- Horticultural and Viticultural Research
- Species Distribution and Climate Change
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Greenhouse Technology and Climate Control
- Soil Geostatistics and Mapping
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Climate change and permafrost
- Atmospheric aerosols and clouds
- Environmental and Agricultural Sciences
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2016-2025
Université d'Avignon et des Pays de Vaucluse
2013-2025
EMMAH - Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes
2015-2024
University of Southampton
2021
AgroParisTech
2008-2015
Centre Provence-Alpes-Côte d'Azur
2014
Institut National de la Recherche Agronomique
2006-2013
Département Environnement et Agronomie
2002-2008
Noveltis (France)
2002-2007
Institut National de la Recherche Agronomique du Niger
2006
This study investigates the performances of four major global Leaf Area Index (LAI) products at 1/11.2° spatial sampling and a monthly time step: ECOCLIMAP climatology, GLOBCARBON (from SPOT/VEGETATION ATSR/AATSR), CYCLOPES SPOT/VEGETATION) MODIS Collection 4 (main algorithm, from MODIS/TERRA). These were intercompared during 2001–2003 period over BELMANIP network sites. Their uncertainty was assessed by comparison with 56 LAI reference maps derived ground measurements. depict realistic...
Initiated in 1984, the Committee Earth Observing Satellites' Working Group on Calibration and Validation (CEOS WGCV) pursues activities to coordinate, standardize advance calibration validation of civilian satellites their data. One subgroup CEOS WGCV, Land Product (LPV), was established 2000 define standard guidelines protocols foster data information exchange relevant land products. Since then, a number leaf area index (LAI) products have become available science community at both global...
Global products of vegetation green Leaf Area Index (LAI) and Fraction Photosynthetically Active Radiation absorbed by (FPAR) are being operationally produced from Terra Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) at 1-km resolution eight-day frequency. This paper summarizes the experience several collaborating investigators on validation MODIS LAI demonstrates close connection between product algorithm refinement activities. The moderate includes three steps: 1) field...
Leaf area index (LAI) is a key parameter of vegetation structure in the fields agriculture, forestry, and ecology. Optical indirect methods based on Beer-Lambert law are widely adopted numerous given their high efficiency feasibility for LAI estimation. These have undergone considerable progress past decades, thereby making them operational ground-based measurement even airborne However, several challenges remain, requirement increasing accuracy new applications. Clumping effect correction...
Abstract. Moderate resolution satellite sensors including MODIS (Moderate Resolution Imaging Spectroradiometer) already provide more than 10 yr of observations well suited to describe and understand the dynamics earth's surface. However, these time series are associated with significant uncertainties incomplete because cloud cover. This study compares eight methods designed improve continuity by filling gaps consistency smoothing course. It includes exploiting as a whole (iterative...
The NRT algorithm for near-real time estimation of global LAI, FAPAR, and FCOVER variables from SPOT/VEGETATION (VGT) satellite data is described here. It consists three steps: 1) neural networks (NNT) (one each variable) to provide instantaneous estimates daily VGT-P reflectances; 2) a multistep filtering approach eliminate mainly affected by atmospheric effects snow cover; 3) Savitzky-Golay climatology temporal smoothing gap filling techniques ensure consistency continuity as well...
The Copernicus Global Land Service (CGLS) provides global time series of leaf area index (LAI), fraction absorbed photosynthetically active radiation (fAPAR) and vegetation cover (fCOVER) data at a resolution 300 m frequency 10 days. We performed quality assessment validation Version 1 Collection products that were consistent with the guidelines Product Validation (LPV) subgroup Committee on Earth Observation System (CEOS) Working Group Calibration (WGCV). spatiotemporal patterns V1 LAI,...
This study investigates the representativeness of land cover and leaf area index (LAI) sampled by a global network sites to be used for evaluation biophysical products, such as LAI or fAPAR, derived from current satellite systems. The networks considered include 100 where ground measurements fAPAR have been performed validation medium resolution 188 FLUXNET 52 AERONET sites. All retained had less than 25% water bodies within 8times8 km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The objective of this study was to determine the impact lowering nitrogen supply from 12 6 or 4 mM NO3− on tomato fruit yield and quality during growing season. Lowering had a low commercial (−7.5%), but it reduced plant vegetative growth increased dry matter content, improving consequently quality. Fruit improved due lower acid (10−16%) soluble sugar content (5−17%). some phenolic compounds (rutin, caffeic glycoside, derivate) total ascorbic tended be higher in with lowest supply,...
One of the most common approaches to reducing environmental impact nitrogen (N) fertilisation in intensive agrosystems is adjust N input crop requirement. This adjustment frequently related nutrition index (NNI) based on concepts critical and actual absorbed (kg/ha) canopy (respectively, NC CNC). Accurate estimation CNC at field scale over large areas freely available satellite imagery thus a key issue address. Relying dataset farmers' fields, this study highlights high correlation (R2 =...