What is he best known for?
The fields of study he is best known for:
- Statistics
- Optics
- Remote sensing
Jean-Philippe Gastellu-Etchegorry focuses on Remote sensing, Radiative transfer, Dart, Canopy and Atmospheric radiative transfer codes.
His Remote sensing research integrates issues from Spectrometer, Imaging spectrometer, Infrared, Tree canopy and Ensemble averaging.
His Radiative transfer research is multidisciplinary, incorporating elements of Specular reflection, Meteorology, Satellite and Chlorophyll fluorescence.
His Satellite research includes themes of Domain, Multispectral pattern recognition, Multispectral image and Vegetation.
His Canopy research incorporates themes from Leaf area index and Photosynthetically active radiation.
His biological study spans a wide range of topics, including Texture, Resolution and Decision rule.
His most cited work include:
- Modeling radiative transfer in heterogeneous 3-D vegetation canopies (314 citations)
- Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models (221 citations)
- DART: a 3D model for simulating satellite images and studying surface radiation budget (194 citations)
What are the main themes of his work throughout his whole career to date?
Remote sensing, Radiative transfer, Dart, Atmospheric radiative transfer codes and Leaf area index are his primary areas of study.
Jean-Philippe Gastellu-Etchegorry works in the field of Remote sensing, focusing on Lidar in particular.
His studies in Radiative transfer integrate themes in fields like Atmosphere, Meteorology, Inversion, Radiance and Anisotropy.
His studies deal with areas such as Image resolution and Brightness temperature as well as Atmospheric radiative transfer codes.
His Canopy research is multidisciplinary, incorporating perspectives in Forest ecology, Ecosystem, Atmospheric sciences and Photosynthetically active radiation.
Jean-Philippe Gastellu-Etchegorry has included themes like Remote sensing and Multispectral image in his Vegetation study.
He most often published in these fields:
- Remote sensing (75.00%)
- Radiative transfer (45.50%)
- Dart (32.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (75.00%)
- Radiative transfer (45.50%)
- Dart (32.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Remote sensing, Radiative transfer, Dart, Leaf area index and Canopy.
His work carried out in the field of Remote sensing brings together such families of science as Atmospheric radiative transfer codes and Chlorophyll fluorescence.
His Atmospheric radiative transfer codes study combines topics from a wide range of disciplines, such as Regression analysis, Forest ecology and Near-infrared spectroscopy.
His biological study spans a wide range of topics, including Atmosphere, Satellite, Vegetation, Voxel and Anisotropy.
His research investigates the connection between Leaf area index and topics such as Enhanced vegetation index that intersect with problems in Boreal.
His study in Canopy is interdisciplinary in nature, drawing from both Transmittance, Atmospheric sciences and Imaging spectroscopy.
Between 2017 and 2021, his most popular works were:
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (91 citations)
- Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (89 citations)
- Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods (63 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Optics
- Remote sensing
His main research concerns Remote sensing, Radiative transfer, Dart, Canopy and Imaging spectroscopy.
His research integrates issues of Atmospheric radiative transfer codes, Inversion, Leaf area index and Chlorophyll fluorescence in his study of Remote sensing.
The study incorporates disciplines such as Lidar, Atmospheric sciences and Understory in addition to Leaf area index.
His Radiative transfer research includes elements of Thermography, Absorption, Vegetation and Radiance.
His study looks at the relationship between Vegetation and topics such as Satellite, which overlap with Measurement uncertainty, Photochemical Reflectance Index, Primary production, Remote sensing and Field.
The Imaging spectroscopy study which covers Data mining that intersects with Nonparametric regression.
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