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Eric Vermote

Researcher at Goddard Space Flight Center

Publications -  206
Citations -  41369

Eric Vermote is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Atmospheric correction & Moderate-resolution imaging spectroradiometer. The author has an hindex of 71, co-authored 202 publications receiving 35638 citations. Previous affiliations of Eric Vermote include University of Maryland, College Park & university of lille.

Papers
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Proceedings ArticleDOI

Satellite Aerosols Retrieval Over Land Surfaces Using the Structure Functions

TL;DR: Remote sensing of aerosol optical thickness from space is difficult over continental surfaces and there are two retrieval algorithms, one based on the use of dark targets and a second based on contrast reduction between selected pixels.
Journal ArticleDOI

Author Correction: Global land change from 1982 to 2016

TL;DR: In this Letter, errors in Supplementary Table 1 have been corrected and apologies are made for any confusion.
Journal ArticleDOI

Improved Understanding of Suspended Sediment Transport Process Using Multi-Temporal Landsat Data: A Case Study From the Old Woman Creek Estuary (Ohio)

TL;DR: The potential and limitations of using medium- spatial scale multispectral data, such as Landsat, to understand important factors that control suspended sediment transport processes within an estuary are demonstrated.
Journal ArticleDOI

AVHRR Land Pathfinder II (ALP II) data set: Evaluation and inter-comparison with other data sets

TL;DR: A new processing chain was developed at the University of Maryland and NASA-GSFC for an improved AVHRR Land Pathfinder II (ALP II) data set as discussed by the authors, which has shown a greater accuracy in atmospheric correction and temporal profiles for ALP II data set than the other AVHR data sets.
Book ChapterDOI

Radiative Transfer Modelling for Calibration and Atmospheric Correction

TL;DR: In this paper, the authors reviewed the different atmospheric contributors to the signal, the formulation of their effect and their relative effects on the measured signal, and the functionality, precision and accuracy of a widely-used radiation transfer code, 5S (simulation of satellite signal in the solar spectrum), and its recent successor, 6S (second simulation of Satellite Signal in the Solar Spectrum), which enables accurate simulation and correction for atmospheric effects, are examined.