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.
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