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 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.
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.
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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AERONET-a federated instrument network and data archive for aerosol Characterization
B.N. Holben;T.F. Eck;I. Slutsker;D. Tanré.
Remote Sensing of Environment (1998)
Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview
E.F. Vermote;D. Tanre;J.L. Deuze;M. Herman.
IEEE Transactions on Geoscience and Remote Sensing (1997)
The MODIS Aerosol Algorithm, Products and Validation
L. A. Remer;Y. J. Kaufman;D. Tanré;S. Mattoo.
Journal of the Atmospheric Sciences (2005)
An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data
Compton J. Tucker;Jorge E. Pinzon;Molly E. Brown;Daniel A. Slayback.
International Journal of Remote Sensing (2005)
Landsat-8: Science and Product Vision for Terrestrial Global Change Research
David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock.
Remote Sensing of Environment (2014)
Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer
Y. J. Kaufman;D. Tanré;L. A. Remer;E. F. Vermote.
Journal of Geophysical Research (1997)
The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research
C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries.
IEEE Transactions on Geoscience and Remote Sensing (1998)
A Landsat surface reflectance dataset for North America, 1990-2000
J.G. Masek;E.F. Vermote;N.E. Saleous;R. Wolfe.
IEEE Geoscience and Remote Sensing Letters (2006)
An overview of MODIS Land data processing and product status
C.O Justice;J.R.G Townshend;E.F Vermote;E Masuoka.
Remote Sensing of Environment (2002)
Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
Robert C. Levy;Robert C. Levy;Lorraine A. Remer;Shana Mattoo;Eric F. Vermote.
Journal of Geophysical Research (2007)
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