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Stéphane Jacquemoud

Researcher at Institut de Physique du Globe de Paris

Publications -  108
Citations -  12916

Stéphane Jacquemoud is an academic researcher from Institut de Physique du Globe de Paris. The author has contributed to research in topics: Canopy & Atmospheric radiative transfer codes. The author has an hindex of 37, co-authored 103 publications receiving 11500 citations. Previous affiliations of Stéphane Jacquemoud include Paris Diderot University & Blaise Pascal University.

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PROSPECT: A model of leaf optical properties spectra

TL;DR: In this paper, a radiative transfer model based on Allen's generalized plate model is proposed to represent the optical properties of plant leaves from 400 nm to 2500 nm, where spectral refractive index (n) and a parameter characterizing the leaf mesophyll structure (N) are used.
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PROSPECT+SAIL models: A review of use for vegetation characterization

TL;DR: The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional reflectance model, also referred to as PROSAIL, has been used for about sixteen years to study plant canopy spectral and directional reflectance in the solar domain this paper.
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Detecting vegetation leaf water content using reflectance in the optical domain

TL;DR: In this paper, the authors investigated the potential and approaches for using optical remote sensing to assess vegetation water content at the leaf level using laboratory measurements, the radiative transfer model PROSPECT and a sensitivity analysis.
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PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments

TL;DR: In this article, a new calibration and validation of the PROSPECT optical model is presented, which separates plant pigment contributions to the visible spectrum using several comprehensive datasets containing hundreds of leaves collected in a wide range of ecosystem types.
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Estimating leaf biochemistry using the PROSPECT leaf optical properties model

TL;DR: In this paper, the biophysical, biochemical, and optical properties of 63 fresh leaves and 58 dry leaves were measured to investigate the potential of remote sensing to estimate the leaf biochemistry from space.