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Nadine Bruguier

Researcher at Institut national de la recherche agronomique

Publications -  19
Citations -  981

Nadine Bruguier is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Leaf area index & Canopy. The author has an hindex of 13, co-authored 19 publications receiving 933 citations.

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A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields

TL;DR: In this article, a simple algorithm to retrieve sail moisture and vegetation water content from passive microwave measurements is analyzed, based on a zeroth-order solution of the radiative transfer equations in a vegetation layer.
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Coupling canopy functioning and radiative transfer models for remote sensing data assimilation

TL;DR: In this paper, a coupling strategy between well known and validated crop functioning and radiative transfer models (RTM), applied to wheat crops, is presented. But the coupling is performed through several state variables: leaf area index, leaf chlorophyll content, organ dry matter and relative water content, and the coupling scheme is then tested on the data set provided by the Alpilles-ReSeDA campaign.
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Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data

TL;DR: In this paper, the capability of model inversion to retrieve the leaf area index (LAI) of wheat, maize, sunflower and alfalfa crops, for which ground validation was available, was evaluated.
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Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data.

TL;DR: A catalogue of donnees de reflectance bidirectionnelle (BRDF), acquis avec le capteur aeroporte POLDER, correspondant a plusieurs types de cultures (principalement du ble, de la luzerne, du tournesol et du mais) a ete acquis lors de la campagne Alpilles/ReSeDA, tout au long des cycles de cultures en 1997 as discussed by the authors.
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Using SPOT data for calibrating a wheat growth model under mediterranean conditions

TL;DR: In this article, the use of SPOT satellite data for deriving crop biophysical parameters at various dates during the growing season was described, in particular, the leaf area index (LAI) was estimated by using the semi-empirical CLAIR model.