What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Climate change
Eric Vermote spends much of his time researching Remote sensing, Moderate-resolution imaging spectroradiometer, Atmospheric correction, Meteorology and AERONET.
His Remote sensing research is multidisciplinary, relying on both Data processing and Advanced very-high-resolution radiometer.
His Moderate-resolution imaging spectroradiometer research incorporates themes from Spectroradiometer, MODTRAN, Radiance and Data set.
He combines subjects such as Normalization, Bidirectional reflectance distribution function, Radiative transfer and Satellite imagery with his study of Atmospheric correction.
His studies in Meteorology integrate themes in fields like Reflectivity, Remote sensing, Amazon rainforest, Vegetation and Dry season.
His research in AERONET tackles topics such as Angstrom exponent which are related to areas like Geostationary orbit, Multi-angle Imaging SpectroRadiometer and AATSR.
His most cited work include:
- AERONET-a federated instrument network and data archive for aerosol Characterization (5056 citations)
- Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview (2396 citations)
- The MODIS Aerosol Algorithm, Products, and Validation (2261 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Remote sensing, Atmospheric correction, Moderate-resolution imaging spectroradiometer, Meteorology and Reflectivity.
His work carried out in the field of Remote sensing brings together such families of science as Image resolution, Bidirectional reflectance distribution function, Aerosol, AERONET and Normalized Difference Vegetation Index.
His Aerosol research is multidisciplinary, incorporating elements of Inversion and Atmospheric sciences.
Eric Vermote usually deals with Atmospheric correction and limits it to topics linked to Near-infrared spectroscopy and Calibration.
The concepts of his Moderate-resolution imaging spectroradiometer study are interwoven with issues in Spectral bands, Spectroradiometer and Radiometry.
The Meteorology study combines topics in areas such as Remote sensing, Data processing and Advanced very-high-resolution radiometer.
He most often published in these fields:
- Remote sensing (74.90%)
- Atmospheric correction (25.91%)
- Moderate-resolution imaging spectroradiometer (21.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (74.90%)
- Reflectivity (19.03%)
- Normalized Difference Vegetation Index (15.38%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Remote sensing, Reflectivity, Normalized Difference Vegetation Index, Biogeosciences and Bidirectional reflectance distribution function.
His Remote sensing study integrates concerns from other disciplines, such as Image resolution and Atmospheric correction.
His Atmospheric correction study incorporates themes from Atmosphere, Ground segment and Aerosol.
His work deals with themes such as Surface and Code, which intersect with Reflectivity.
His Normalized Difference Vegetation Index research incorporates elements of Yield, Growing degree-day and Moderate-resolution imaging spectroradiometer.
The study incorporates disciplines such as Normalization and Nadir in addition to Bidirectional reflectance distribution function.
Between 2017 and 2021, his most popular works were:
- Global land change from 1982 to 2016. (424 citations)
- The Harmonized Landsat and Sentinel-2 surface reflectance data set (265 citations)
- Current status of Landsat program, science, and applications (184 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Remote sensing
- Climate change
His scientific interests lie mostly in Remote sensing, Bidirectional reflectance distribution function, Reflectivity, Atmospheric correction and Image resolution.
His Remote sensing research integrates issues from Evapotranspiration, Normalized Difference Vegetation Index and Moderate-resolution imaging spectroradiometer.
His Bidirectional reflectance distribution function study incorporates themes from Normalization, Linear regression and Nadir.
His studies in Reflectivity integrate themes in fields like Atmospheric sciences, Phenology, Regression and Satellite observation.
His work deals with themes such as Computer engineering and Satellite imagery, which intersect with Atmospheric correction.
His study in Image resolution is interdisciplinary in nature, drawing from both Aerosol, Winter wheat and Scale.
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