World's Best Scientists 2026 revealed!
Jean-Philippe Gastellu-Etchegorry

Jean-Philippe Gastellu-Etchegorry

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
10502
World Ranking
4707
National Ranking
205

Jean-Philippe Gastellu-Etchegorry 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 Jean-Philippe Gastellu-Etchegorry 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: 283 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: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 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 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 254 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Jean-Philippe Gastellu-Etchegorry 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 Jean-Philippe Gastellu-Etchegorry 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: 199 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: 19 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: 99 scientists
30 D-Index 125+

This scientist: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Jean-Philippe Gastellu-Etchegorry is affiliated with the Federal University of Toulouse Midi-Pyrénées in France. Their research primarily focuses on environmental science, with a notable specialization in subfields such as ecology, environmental engineering, global and planetary change, plant science, and aerospace engineering.

The scientist's work extensively covers topics including remote sensing in agriculture, remote sensing and LiDAR applications, urban heat island mitigation, land use and ecosystem services, plant water relations and carbon dynamics, atmospheric aerosols and clouds, and atmospheric and environmental gas dynamics.

Jean-Philippe Gastellu-Etchegorry has contributed papers to several frequently appearing academic venues. These include:

  • Remote Sensing of Environment
  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • SSRN Electronic Journal
  • IEEE Transactions on Geoscience and Remote Sensing

The scientist's recent publications highlight a range of remote sensing and vegetation analysis studies. These include:

  • Using the Negative Soil Adjustment Factor of Soil Adjusted Vegetation Index (SAVI) to Resist Saturation Effects and Estimate Leaf Area Index (LAI) in Dense Vegetation Areas, 2021, Sensors
  • An assessment study of three indirect methods for estimating leaf area density and leaf area index of individual trees, 2020, Agricultural and Forest Meteorology
  • DART-Lux: An unbiased and rapid Monte Carlo radiative transfer method for simulating remote sensing images, 2022, Remote Sensing of Environment
  • Globally quantitative analysis of the impact of atmosphere and spectral response function on 2-band enhanced vegetation index (EVI2) over Sentinel-2 and Landsat-8, 2023, ISPRS Journal of Photogrammetry and Remote Sensing
  • Modeling the angular effect of MODIS LST in urban areas: A case study of Toulouse, France, 2021, Remote Sensing of Environment

Jean-Philippe Gastellu-Etchegorry has collaborated frequently with a number of researchers, including:

  • Nicolas Lauret
  • Tiangang Yin
  • Yingjie Wang
  • Zhijun Zhen
  • Eric Chavanon

Best Publications

  • Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.

    Gina H. Mohammed;Roberto Colombo;Elizabeth M. Middleton;Uwe Rascher

  • Modeling radiative transfer in heterogeneous 3-D vegetation canopies

    Jean-Philippe Gastellu-Etchegorry;Valérie Demarez;V. Pinel;F. Zagolski

  • Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

    Jochem Verrelst;Zbynek Malenovsky;Zbynek Malenovsky;Christiaan van der Tol;Gustau Camps-Valls

  • DART: a 3D model for simulating satellite images and studying surface radiation budget

    J. P. Gastellu-Etchegorry;E. Martin;F. Gascon

  • Discrete Anisotropic Radiative Transfer (DART 5) for modeling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes

    J.P. Gastellu Etchegorry;T. Yin;N. Lauret;T. Cajgfinger

  • Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models

    Jean-Luc Widlowski;Malcolm Taberner;Bernard Pinty;Véronique Bruniquel-Pinel

  • LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes

    Jianbo Qi;Donghui Xie;Tiangang Yin;Tiangang Yin;Guangjian Yan

  • The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

    Jean Luc Widlowski;Corrado Mio;Mathias Disney;Jennifer Adams

  • DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence

    Jean-Philippe Gastellu-Etchegorry;Nicolas Lauret;Tiangang Yin;Lucas Landier

  • Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

    Zbynek Malenovsky;Zbynek Malenovsky;Lucie Homolova;Lucie Homolova;Raul Zurita-Milla;Petr Lukes

  • Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model

    Xinjie Liu;Luis Guanter;Liangyun Liu;Alexander Damm;Alexander Damm

  • A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives

    Biao Cao;Qinhuo Liu;Yongming Du;Jean-Louis Roujean

  • Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

    Jean-Baptiste Féret;G. Le Maire;G. Le Maire;S. Jay;D. Berveiller

  • Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data

    Fabian D. Schneider;Reik Leiterer;Felix Morsdorf;Jean-Philippe Gastellu-Etchegorry

  • Influence of woody elements of a Norway spruce canopy on nadir reflectance simulated by the DART model at very high spatial resolution

    Zbynek Malenovsky;Zbynek Malenovsky;Emmanuel Martin;Lucie Homolova;Jean-Philippe Gastellu-Etchegorry

  • Relating the Global Vegetation Index to net primary productivity and actual evapotranspiration over Africa

    D. Lo Seen Chong;E. Mougin;J. P. Gastellu-Etchegorry

  • The fourth radiation transfer model intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528

    J. L. Widlowski;B. Pinty;M. Lopatka;C. Atzberger

  • The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests

    Nicolas Serge Barbier;Pierre Couteron;Christophe C. Proisy;Yadvinder Malhi

  • Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods

    Jochem Verrelst;Zbyněk Malenovský;Christiaan Van der Tol;Gustau Camps-Valls

  • Sensitivity of Texture of High Resolution Images of Forest to Biophysical and Acquisition Parameters

    V. Bruniquel-Pinel;J.P. Gastellu-Etchegorry

  • Modeling radiative transfer in heterogeneous 3D vegetation canopies

    J. P. Gastellu-Etchegorry;V. Demarez;Veronique Pinel;Francis Zagolski

Frequent Co-Authors

Nektarios Chrysoulakis
Nektarios Chrysoulakis Foundation for Research and Technology Hellas
Ahmad Al Bitar
Ahmad Al Bitar Federal University of Toulouse Midi-Pyrénées
Fredrik Lindberg
Fredrik Lindberg University of Gothenburg
Michael E. Schaepman
Michael E. Schaepman University of Zurich
Fabio Del Frate
Fabio Del Frate University of Rome Tor Vergata
Bruce D. Cook
Bruce D. Cook Goddard Space Flight Center
Douglas C. Morton
Douglas C. Morton Goddard Space Flight Center
Eric Mougin
Eric Mougin Federal University of Toulouse Midi-Pyrénées
Zbyněk Malenovský
Zbyněk Malenovský University of Bonn
Felix Morsdorf
Felix Morsdorf University of Zurich

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