H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences H-index 34 Citations 12,967 73 World Ranking 4748 National Ranking 213

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Statistics
  • Ecology

The scientist’s investigation covers issues in Remote sensing, Canopy, Atmospheric radiative transfer codes, Vegetation and Reflectivity. His Remote sensing research incorporates elements of Wavelength, Transmittance, Water content, Absorption and Analytical chemistry. His biological study spans a wide range of topics, including Spectral bands and Leaf area index.

The study incorporates disciplines such as Chlorophyll and Wet chemistry in addition to Atmospheric radiative transfer codes. His Vegetation study integrates concerns from other disciplines, such as Radiative transfer modeling, Shortwave infrared, Chlorophyll content, Leaf water content and Radiometry. His research in the fields of Spectroradiometer overlaps with other disciplines such as Field.

His most cited work include:

  • PROSPECT: A model of leaf optical properties spectra (1643 citations)
  • PROSPECT+SAIL models: A review of use for vegetation characterization (855 citations)
  • Detecting vegetation leaf water content using reflectance in the optical domain (732 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Remote sensing, Canopy, Vegetation, Wavelength and Reflectivity. His Remote sensing research includes themes of Spectral line, Atmospheric radiative transfer codes, Leaf area index and Chlorophyll a. His work carried out in the field of Atmospheric radiative transfer codes brings together such families of science as Soil science, Soil water, Scattering and Water content.

His Canopy research is multidisciplinary, incorporating perspectives in Spectral bands and Estimator, Kernel density estimation. His Vegetation research focuses on Spectral signature and how it connects with Infrared spectroscopy. His study looks at the intersection of Wavelength and topics like Absorption with Biological system.

He most often published in these fields:

  • Remote sensing (77.00%)
  • Canopy (18.00%)
  • Vegetation (17.00%)

What were the highlights of his more recent work (between 2016-2020)?

  • Remote sensing (77.00%)
  • Wavelength (18.00%)
  • Surface finish (8.00%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Remote sensing, Wavelength, Surface finish, Ground truth and Atmospheric radiative transfer codes. His Remote sensing research incorporates themes from Climate change and Emissivity. The concepts of his Wavelength study are interwoven with issues in Solar spectra, Plant species, Biological system and Absorption.

His research in Ground truth intersects with topics in Photosynthesis, Transpiration, Leaf optics, Nutrient and Energy budget. His Atmospheric radiative transfer codes research is multidisciplinary, incorporating elements of Soil science, Soil water, Soil moisture content, Reflectivity and Grain size. He interconnects Biological pigment and Plant physiology in the investigation of issues within Hyperspectral imaging.

Between 2016 and 2020, his most popular works were:

  • PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle (197 citations)
  • Surface roughness retrieval by inversion of the Hapke model: A multiscale approach (19 citations)
  • Reassessment of the temperature-emissivity separation from multispectral thermal infrared data: Introducing the impact of vegetation canopy by simulating the cavity effect with the SAIL-Thermique model (18 citations)

In his most recent research, the most cited papers focused on:

  • Optics
  • Ecology
  • Statistics

Stéphane Jacquemoud mainly focuses on Remote sensing, Hyperspectral imaging, Emissivity, Leaf area index and Spectral line. With his scientific publications, his incorporates both Remote sensing and Surface roughness. His work in the fields of Hyperspectral imaging, such as Shortwave infrared, overlaps with other areas such as Model prediction.

His Model prediction study spans across into subjects like High resolution and Adaptation. His studies deal with areas such as Range, Calibration, Vegetation and Multispectral image as well as Emissivity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

PROSPECT: A model of leaf optical properties spectra

S. Jacquemoud;F. Baret.
Remote Sensing of Environment (1990)

2391 Citations

Detecting vegetation leaf water content using reflectance in the optical domain

Pietro Ceccato;Stéphane Flasse;Stefano Tarantola;Stéphane Jacquemoud.
Remote Sensing of Environment (2001)

1158 Citations

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

Stéphane Jacquemoud;Wout Verhoef;Frédéric Baret;Cédric Bacour.
Remote Sensing of Environment (2009)

1016 Citations

Estimating leaf biochemistry using the PROSPECT leaf optical properties model

S. Jacquemoud;S.L. Ustin;J. Verdebout;G. Schmuck.
Remote Sensing of Environment (1996)

749 Citations

PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments

Jean Baptiste Feret;Jean Baptiste Feret;Christophe François;Gregory P. Asner;Anatoly A. Gitelson.
Remote Sensing of Environment (2008)

674 Citations

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

S Jacquemoud;C Bacour;H Poilvé;J.-P Frangi.
Remote Sensing of Environment (2000)

512 Citations

Retrieval of foliar information about plant pigment systems from high resolution spectroscopy

Susan L. Ustin;Anatoly A. Gitelson;Stéphane Jacquemoud;Michael Schaepman.
Remote Sensing of Environment (2009)

503 Citations

Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors

S. Jacquemoud;F. Baret;B. Andrieu;F.M. Danson.
Remote Sensing of Environment (1995)

479 Citations

Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems

Th. Fourty;F. Baret;S. Jacquemoud;G. Schmuck.
Remote Sensing of Environment (1996)

405 Citations

The soil line concept in remote sensing

F. Baret;S. Jacquemoud;J. F. Hanocq.
Remote Sensing Reviews (1993)

396 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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