World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
87
Citations
60094
World Ranking
664
National Ranking
293

Eric Vermote publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Eric Vermote sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 281 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Eric Vermote D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Eric Vermote sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 87 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Eric Vermote is affiliated with the Goddard Space Flight Center in the United States. Their research primarily spans environmental science, with a focus on the application of remote sensing technologies to monitor and analyze ecological, atmospheric, and land-use changes.

The scientist's work covers various interconnected subfields including ecology, global and planetary change, atmospheric science, environmental engineering, and aerospace engineering. Their scholarly output centers on several key topics such as remote sensing in agriculture, atmospheric aerosols and clouds, atmospheric and environmental gas dynamics, calibration and measurement techniques, remote sensing and LiDAR applications, land use and ecosystem services, and marine and coastal ecosystems.

Eric Vermote has contributed to numerous publications, some of the recent noteworthy papers include:

  • "Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2" (2022), published in Remote Sensing of Environment
  • "The 50-year Landsat collection 2 archive" (2023), published in Science of Remote Sensing
  • "Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery" (2021), published in Remote Sensing
  • "Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products" (2024), published in Remote Sensing of Environment
  • "Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land" (2022), published in Remote Sensing of Environment

They frequently co-author research with several colleagues, including:

  • Sergii Skakun
  • Jean-Claude Roger
  • B. Franch
  • Olivier Hagolle
  • Natacha Kalecinski

Eric Vermote's work is often published in the following venues, reflecting their domain expertise:

  • Remote Sensing
  • Remote Sensing of Environment
  • Science of Remote Sensing
  • Limnology and Oceanography Letters
  • Environmental Research Letters

The scope of their research includes developing and assessing algorithms for satellite imagery processing, advancing atmospheric correction techniques, and monitoring agricultural and ecological variability using remote sensing data.

Best Publications

  • AERONET-a federated instrument network and data archive for aerosol Characterization

    B.N. Holben;T.F. Eck;I. Slutsker;D. Tanré

  • Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview

    E.F. Vermote;D. Tanre;J.L. Deuze;M. Herman

  • The MODIS Aerosol Algorithm, Products and Validation

    L. A. Remer;Y. J. Kaufman;D. Tanré;S. Mattoo

  • 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

  • Landsat-8: Science and Product Vision for Terrestrial Global Change Research

    David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock

  • The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

    C.O. Justice;E. Vermote;J.R.G. Townshend;R. Defries

  • 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

  • Global land change from 1982 to 2016.

    Xiao Peng Song;Matthew C. Hansen;Stephen V. Stehman;Peter V. Potapov

  • A Landsat surface reflectance dataset for North America, 1990-2000

    J.G. Masek;E.F. Vermote;N.E. Saleous;R. Wolfe

  • An overview of MODIS Land data processing and product status

    C.O Justice;J.R.G Townshend;E.F Vermote;E Masuoka

  • Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

    Eric Vermote;Chris Justice;Martin Claverie;Martin Claverie;Belen Franch;Belen Franch

  • 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

  • The Harmonized Landsat and Sentinel-2 surface reflectance data set

    Martin Claverie;Martin Claverie;Junchang Ju;Junchang Ju;Jeffrey G. Masek;Jennifer L. Dungan

  • Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

    David P. Roy;V. Kovalskyy;Hankui Zhang;Eric F. Vermote

  • Free access to Landsat imagery.

    Curtis E. Woodcock;Richard Allen;Martha Anderson;Alan Belward

  • Current status of Landsat program, science, and applications

    Michael A. Wulder;Thomas R. Loveland;David P. Roy;Christopher J. Crawford

  • Atmospheric correction of MODIS data in the visible to middle infrared: first results

    Eric F Vermote;Nazmi Z El Saleous;Christopher O Justice

  • Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation

    E. F. Vermote;N. El Saleous;C. O. Justice;Y. J. Kaufman

  • Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance

    Svetlana Y. Kotchenova;Eric F. Vermote;Raffaella Matarrese;Frank J. Klemm

  • A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

    I. Becker-Reshef;E. Vermote;M. Lindeman;C. Justice

Frequent Co-Authors

Jean-Claude Roger
Jean-Claude Roger University of Maryland, College Park
Sergii Skakun
Sergii Skakun University of Maryland, College Park
Christopher O. Justice
Christopher O. Justice University of Maryland, College Park
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
David P. Roy
David P. Roy Michigan State University
John R. Townshend
John R. Townshend University of Maryland, College Park
Ranga B. Myneni
Ranga B. Myneni Boston University
Yoram J. Kaufman
Yoram J. Kaufman Goddard Space Flight Center
Didier Tanré
Didier Tanré University of Lille
Brent N. Holben
Brent N. Holben Goddard Space Flight Center

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