E
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
Generating a long-term land data record from the AVHRR and MODIS Instruments
Jeffrey A. Pedelty,Sadashiva Devadiga,Edward J. Masuoka,Molly E. Brown,Jorge E. Pinzon,Compton J. Tucker,David P. Roy,Junchang Ju,Eric Vermote,Stephen D. Prince,Jyoteshwar Nagol,C. Justice,Crystal L. Schaaf,Jicheng Liu,Jeffrey L. Privette,A. C. Pinheiro +15 more
TL;DR: The LTDR project will reprocess global area coverage (GAC) data from AVHRR sensors onboard NOAA satellites by applying the preprocessing improvements identified in the AV HRR Pathfinder II project and atmospheric and BRDF corrections used in MODIS processing.
Journal ArticleDOI
An approach to estimate global biomass burning emissions of organic and black carbon from MODIS fire radiative power
Eric Vermote,Evan Ellicott,Oleg Dubovik,Tatyana Lapyonok,Mian Chin,Louis Giglio,Gareth Roberts +6 more
TL;DR: Vermote et al. as discussed by the authors used both Aqua and Terra MODIS observations to estimate the fire radiative energy using a simple model to parameterize the fire diurnal cycle based on the long-term ratio between Terra and Aqua MODIS FRP.
Journal ArticleDOI
Impact of sensor degradation on the MODIS NDVI time series
Dongdong Wang,Douglas C. Morton,Jeffrey G. Masek,Aisheng Wu,Jyoteshwar Nagol,Xiaoxiong Xiong,Robert C. Levy,Eric Vermote,Robert E. Wolfe +8 more
TL;DR: In this paper, the impact of sensor degradation on trend detection was evaluated using Collection 5 data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on the Terra and Aqua platforms.
Journal ArticleDOI
Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity
C. Kuhn,Aline de Matos Valerio,Nicholas D. Ward,Nicholas D. Ward,Luke C. Loken,Luke C. Loken,Henrique O. Sawakuchi,Henrique O. Sawakuchi,Milton Kampel,Jeffrey E. Richey,Philipp Stadler,John Crawford,R. G. Striegl,Eric Vermote,Nima Pahlevan,David Butman +15 more
TL;DR: In this paper, the authors report that despite the > 40 years of inland water observations made possible by optical remover, despite the availability of optical removals, the quality of these observations has not yet improved.
OtherDOI
Landsat Ecosystem Disturbance Adaptive Processing System LEDAPS algorithm description
TL;DR: In this article, the authors propose a solution to solve the problem of the problem: this article...,.. ].. ).. )... ;.