What is he best known for?
The fields of study he is best known for:
- Meteorology
- Optics
- Remote sensing
Jean-Claude Roger spends much of his time researching Remote sensing, Aerosol, Atmospheric correction, AERONET and Nadir.
He interconnects Image resolution, Algorithm, Meteorology and International Standard Atmosphere in the investigation of issues within Remote sensing.
Jean-Claude Roger combines subjects such as Scattering, Optics and Atmospheric sciences with his study of Aerosol.
His Atmospheric correction research is multidisciplinary, incorporating elements of Satellite observation and Moderate-resolution imaging spectroradiometer.
His Moderate-resolution imaging spectroradiometer study incorporates themes from Normalization, Advanced very-high-resolution radiometer, Satellite imagery, Outlier and Data set.
In AERONET, Jean-Claude Roger works on issues like Single-scattering albedo, which are connected to Sky, Radiance, Radiometric calibration and Mineralogy.
His most cited work include:
- Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation (454 citations)
- The Harmonized Landsat and Sentinel-2 surface reflectance data set (265 citations)
- The Harmonized Landsat and Sentinel-2 surface reflectance data set (265 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Remote sensing, Aerosol, Atmospheric sciences, Reflectivity and Atmospheric correction.
Jean-Claude Roger has researched Remote sensing in several fields, including Image resolution, Bidirectional reflectance distribution function, Normalized Difference Vegetation Index and Moderate-resolution imaging spectroradiometer.
His research investigates the link between Bidirectional reflectance distribution function and topics such as Normalization that cross with problems in Data set.
His study in Aerosol is interdisciplinary in nature, drawing from both Albedo and Inversion.
His Atmospheric correction research incorporates themes from Rayleigh scattering, Water vapor and Near-infrared spectroscopy.
His AERONET research integrates issues from Radiometric calibration, Sky and Radiance.
He most often published in these fields:
- Remote sensing (77.94%)
- Aerosol (40.44%)
- Atmospheric sciences (22.79%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (77.94%)
- Bidirectional reflectance distribution function (17.65%)
- Biogeosciences (14.71%)
In recent papers he was focusing on the following fields of study:
Jean-Claude Roger mainly investigates Remote sensing, Bidirectional reflectance distribution function, Biogeosciences, Normalized Difference Vegetation Index and Reflectivity.
His work carried out in the field of Remote sensing brings together such families of science as Image resolution, Atmospheric correction and Moderate-resolution imaging spectroradiometer.
While the research belongs to areas of Atmospheric correction, Jean-Claude Roger spends his time largely on the problem of Data set, intersecting his research to questions surrounding Outlier.
The study incorporates disciplines such as Normalization and Nadir in addition to Bidirectional reflectance distribution function.
His studies in Nadir integrate themes in fields like Pixel, Cirrus, Linear regression and Near-infrared spectroscopy.
The various areas that Jean-Claude Roger examines in his Reflectivity study include Code and AERONET.
Between 2017 and 2021, his most popular works were:
- The Harmonized Landsat and Sentinel-2 surface reflectance data set (265 citations)
- The Harmonized Landsat and Sentinel-2 surface reflectance data set (265 citations)
- Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences (109 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Optics
- Remote sensing
Jean-Claude Roger focuses on Remote sensing, Bidirectional reflectance distribution function, Moderate-resolution imaging spectroradiometer, Normalized Difference Vegetation Index and Normalization.
His studies link Reflectivity with Remote sensing.
His work deals with themes such as Atmospheric correction, Pattern recognition, Artificial intelligence and Nadir, which intersect with Bidirectional reflectance distribution function.
His Moderate-resolution imaging spectroradiometer study combines topics from a wide range of disciplines, such as Earth observation and Coefficient of determination.
His Normalized Difference Vegetation Index research is multidisciplinary, relying on both Image resolution, Consistency, Meteorology and Radiometer.
His study focuses on the intersection of Normalization and fields such as Satellite imagery with connections in the field of Aerosol, Algorithm and Residual.
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